https:--www.memfree.me-blog-serverless-vector-search-lancedb.jsonl

{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"Title: Hybrid AI Search 2 - How to build Serverless Vector Search with 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{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"## [](#1-one-user-one-lancedb)1 One user one LanceDB\n\nI want to build a Hybrid AI Search, Each user needs to build a separate vectorized index, One user one db is very suitable for this 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{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"One user one db has good user isolation, which facilitates data synchronization and migration of a single user (from the cloud to local, between different S3 storages), and is easy to manage: different DBs are created according to userId, the schema of the tables under each DB is the same, and the file structure under S3 is the 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{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"Sqlite, Duckdb, [LanceDB](https://lancedb.github.io/lancedb/) are all suitable for the One user one db 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{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"## [](#2-why-lancedb)2 Why LanceDB","vector":[0.03829792,-0.009858237,-0.033446606,0.05784963,-0.013043627,-0.036741838,0.039323103,0.10244511,-0.02896143,0.058801588,0.096440464,0.013455532,0.05517683,-0.017721027,0.029071271,0.045547433,-0.050343826,0.02465932,0.004521791,-0.053785514,0.032110207,-0.039506175,-0.08552958,0.024494559,-0.008402842,0.0026773761,-0.0028787514,0.01468209,-0.041812837,-0.054737467,0.11577249,0.05327292,0.02088811,-0.08670122,-0.01839838,-0.11093949,0.07403288,0.053968582,-0.041629765,-0.051735144,0.016192405,-0.019441871,-0.042691562,0.01334569,0.078646205,0.019185575,-0.06996877,0.010022998,0.0076842983,-0.0124852685,-0.077987164,-0.12712273,0.04463209,-0.091021635,-0.007986361,-0.014737011,0.039323103,-0.014856005,-0.006773533,-0.024933923,-0.034032427,-0.01794071,-0.03633909,0.022187896,0.023707366,0.06597787,-0.012109978,0.12822114,0.0037460383,-0.043130927,-0.04829346,0.09812469,0.102298655,0.016595155,0.043863203,-0.045693886,0.06411057,0.033391688,-0.030133069,0.023652444,0.07666907,-0.04741473,-0.040897492,0.018032243,0.06129132,-0.024915617,-0.07154315,-0.16227187,0.026654767,-0.017492192,0.0033295576,-0.048769437,0.03480131,-0.055689424,-0.04075104,0.05166192,0.050453667,-0.021437317,-0.02524514,0.022425886,0.021345781,0.032348197,-0.059790157,0.06180391,0.007386812,-0.04097072,0.091973595,0.078426525,-0.010929187,0.15568142,0.042325426,-0.015460131,-0.11430795,-0.0037689218,-0.11701736,-0.03366629,0.05158869,-0.1091088,-0.028119314,-0.06022952,-0.020357212,0.0385176,0.00322887,-0.03626586,-0.0938775,0.0009977231,0.015496745,0.0041281935,0.026892757,0.030554125,-0.047195047,0.027295507,0.02553805,-0.046426162,0.030499205,0.07172622,0.047561184,-0.011917757,0.07260495,0.036137715,-0.09094841,-0.07062781,0.019862927,-0.009803316,0.036357395,0.027863018,-0.0115516195,-0.03377613,-0.005963455,0.040897492,0.017931554,-0.026764609,0.093291685,0.026215402,0.000006221467,-0.016485315,-0.021071179,-0.014938386,-0.03198206,-0.020814883,-0.0074600396,0.00031607912,-0.0072586644,-0.010901727,0.046572614,0.08640831,0.0039222417,-0.06612433,-0.17940709,0.05016076,0.118481904,0.052394193,-0.03725443,-0.0124944225,0.014663783,-0.0067323423,0.09204682,-0.01909404,0.022023136,-0.06681999,0.04660923,-0.050417054,0.021126099,0.0063570524,0.030609045,-0.007450886,0.0526871,0.027387042,0.088824816,0.001717411,0.03818808,-0.0580327,0.052284352,-0.064733006,-0.0142976465,0.006787263,0.0770352,-0.0046156133,0.079524934,0.0074096955,-0.0014702686,-0.015661506,0.011158022,-0.009162576,-0.01920388,-0.049904462,0.05008753,0.059057884,0.0580327,-0.0065584276,-0.016732456,0.026197096,-0.046462774,-0.051735144,0.047890708,0.0012883443,-0.027899632,-0.015222142,0.018910972,-0.016494468,0.053602442,-0.024988845,0.046426162,0.04712182,-0.079378486,-0.14799254,-0.011652308,0.036577076,-0.015899496,-0.021528851,0.093511365,0.067662105,0.048439912,0.057410266,-0.10427579,-0.016613463,0.08582249,-0.057483494,0.021894988,-0.011331937,-0.010389135,0.0097117815,-0.02211467,-0.033446606,-0.05872836,0.0010823923,-0.0031121639,-0.03185391,-0.006549274,-0.0820879,0.051442236,0.0061511,-0.009766703,0.016467007,-0.021913294,0.05843545,0.021547157,0.025702812,0.047890708,-0.049465097,-0.016238172,-0.06422041,-0.052504033,0.050709963,-0.021949908,-0.07806039,0.029107885,-0.017931554,0.021492237,0.0008770123,0.09431687,-0.054407947,0.060485817,0.03254957,0.017885787,-0.04283802,-0.06370782,0.07908557,-0.09160746,-0.0105813565,0.051552076,0.05653154,0.07871944,-0.053126466,-0.047780868,-0.11408826,0.022773717,-0.07289786,-0.016329706,-0.043204155,-0.031542696,-0.06465978,0.003043513,-0.00032408838,0.0163114,0.03436195,0.035423744,-0.037931785,0.0011727823,0.021400703,-0.075717114,-0.08552958,-0.036668614,-0.08897127,0.025007151,0.008375382,0.06187714,0.042288814,-0.12448655,0.018178698,0.0312864,-0.03917665,0.021217635,-0.09021614,-0.024348104,0.02508038,0.010013845,-0.034911156,0.010077919,-0.018645523,0.04184945,0.0143617205,-0.1706198,0.019826313,0.05653154,-0.05276033,0.013382304,-0.045547433,-0.06978569,-0.016247325,-0.042178974,-0.060522433,-0.07165299,-0.005675122,-0.058252383,-0.13818008,-0.04195929,-0.016439548,-0.006837607,-0.010608817,-0.01708944,0.03481962,-0.0057986933,0.0037162898,0.039616015,-0.025226833,-0.06282909,-0.015844574,0.050563507,-0.01973478,0.002361583,0.039799083,0.017931554,-0.04254511,0.08194144,-0.03035275,-0.008993238,-0.06835776,-0.026892757,0.044558864,0.017858328,-0.030499205,-0.040458128,0.050343826,0.04444902,-0.0484033,-0.0041922675,-0.04503484,-0.039103422,-0.008320461,-0.0143342605,-0.033409994,0.016302247,-0.027826406,0.003082415,-0.023103239,0.0068467604,0.05931418,-0.011121409,0.032183435,-0.025867572,-0.012128285,-0.080257215,-0.031139944]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"1.  **High-Performance Column Store**: Vectorized search naturally requires column storage\n2.  **Native vector support**: LanceDB is designed specifically for AI scenarios, treating vectors as first-class citizens with specialized optimizations.\n3.  **Native Lake Support**: LanceDB seamlessly reads and writes to S3 storage, making it straightforward to implement serverless vector search 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{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"4.  **Ease of Use and Maintenance**: No complex installation or deployment procedures are required. You can quickly begin development and testing using local files.\n5.  **Written in Rust**: The vector search capabilities are incredibly fast due to Rust's performance.","vector":[-0.05560458,-0.02134848,-0.040069453,-0.011495335,0.055111922,-0.009984519,-0.043616585,0.102341324,-0.073307395,-0.011207952,0.03235116,0.03494582,-0.023269843,-0.016331587,-0.025536066,0.07547509,-0.052287355,-0.07534371,-0.028179994,-0.0812556,0.02065876,0.02737532,-0.05310845,-0.06312581,0.032827392,0.06949751,0.026192943,0.050316725,-0.102801144,0.0056860857,0.040332206,0.010994467,-0.044667587,0.02711257,-0.0027896715,-0.02867265,0.05777227,-0.02185756,-0.07718296,0.031382266,-0.008917096,-0.050809383,0.03184208,0.036259573,0.052024603,0.027506696,-0.015009624,-0.0010910304,0.04844463,-0.007993364,0.018113364,0.040167987,0.008309485,-0.065819,0.05852768,-0.0115199685,0.02453433,0.06844651,0.04900297,-0.045225933,-0.011848406,-0.11449354,0.03338574,-0.030068513,-0.0377047,0.06746119,0.003477339,0.02891898,-0.0411533,0.040397894,-0.111274846,0.0897293,0.044897497,-0.015896406,-0.03236758,0.027572382,0.008564025,-0.046769593,-0.033549957,0.03632526,0.07481821,-0.034650225,-0.0721907,-0.009524707,0.0480505,-0.03461738,-0.052648637,-0.113311164,0.07869378,-0.012160422,-0.027490273,-0.04046358,0.040759176,-0.032696016,0.009007417,0.06276453,-0.05330551,-0.040693488,-0.01007484,0.08598511,0.026422849,-0.0015416066,-0.07829966,-0.050152507,0.03445316,-0.006593396,0.069366135,0.09209406,-0.004052106,0.035077196,0.043616585,-0.0377047,-0.018589599,-0.03494582,-0.03796745,0.03382913,-0.021397745,-0.12086524,0.021594808,-0.020198947,-0.011643132,0.043780804,-0.0499226,-0.033763442,-0.098465756,-0.00083495135,0.05688549,-0.038788546,-0.019591335,0.0377047,-0.049528472,0.0034793916,0.03951111,0.0057969335,0.08769298,0.08316054,0.016660025,0.109632656,0.027227523,0.03322152,-0.07705159,-0.05491486,-0.079876155,0.023007093,-0.021841137,-0.02530616,-0.0278844,-0.01266129,0.0065646577,-0.047722064,-0.042302832,-0.07205933,0.10122464,-0.035110038,0.04450337,-0.0025002353,0.01730869,0.081386976,0.05278001,0.086313546,0.08250366,-0.05586733,0.06844651,0.041941553,0.03126731,0.06976026,-0.015280585,0.0052139554,-0.077642776,0.048608847,0.034584537,0.11692398,0.010296536,-0.011987993,-0.051794697,-0.0013301745,0.0114542805,-0.016306954,0.107924774,0.010468966,-0.022038199,0.01445949,0.06726413,0.04338668,0.037737545,0.034551695,0.08158404,0.06831513,0.08841555,-0.014878248,-0.048346095,0.023138467,0.050251037,0.030856764,0.04433915,0.008539392,-0.061220873,-0.0010735822,0.030331263,0.014295271,-0.009253745,-0.03295877,0.010649607,0.011257217,0.04703234,0.042631272,-0.002274434,0.0061417934,0.0769859,-0.042828336,0.012423173,-0.0066467673,-0.11239154,0.046244092,-0.010058418,-0.012784455,-0.058232084,-0.079744786,-0.08880968,0.003972049,-0.0036456634,-0.011996203,-0.023893876,-0.031661436,-0.056622736,-0.048083346,-0.028262103,-0.010510021,0.09051755,0.040594954,0.078233965,0.004655611,-0.037573323,0.034190413,-0.056359988,-0.083817415,0.017522175,-0.1555483,-0.06043262,0.04745931,-0.037737545,-0.008449071,-0.02479708,-0.058100708,-0.004142426,-0.028639806,-0.034584537,0.022284528,-0.014484122,-0.04424062,0.009089526,-0.013153948,0.04969269,0.03632526,-0.05484917,0.05819924,0.02134848,-0.06723129,-0.0052919597,-0.05852768,-0.052451573,-0.030117778,-0.06601607,0.065654784,-0.039412577,-0.07265052,0.04121899,-0.037179198,-0.05330551,0.0047500366,0.10411489,-0.018835928,0.014278849,0.054487888,0.010756349,-0.022366637,-0.06949751,-0.00036923634,0.050940756,-0.08204385,-0.00071537937,-0.009417964,-0.008075473,0.0048526735,0.05458642,-0.06309297,-0.024813503,-0.048871595,0.04745931,-0.03107025,-0.011372171,0.008083684,0.0114542805,0.06683716,0.066278815,0.023992406,0.070417136,-0.04906866,-0.022826452,0.00456529,-0.09833438,0.0690377,0.034715913,-0.0005213956,-0.033599224,-0.02479708,0.05777227,0.06460378,-0.037343416,-0.09892557,0.07692021,-0.008793931,0.02014968,-0.104049206,0.10214426,0.025092674,0.000056418234,-0.01824474,-0.060235556,-0.030265575,-0.010698873,-0.025026986,-0.1604092,0.050251037,0.08828417,-0.007808617,0.05018535,-0.023844609,-0.011774507,0.028508432,0.032384,-0.039905235,-0.11193172,0.09445881,0.05724677,-0.11876324,-0.07074558,0.008678978,0.08519685,0.042072926,-0.0377047,-0.047163717,0.020494541,0.020708025,0.047722064,-0.08493411,-0.04184302,0.009401542,0.06306013,0.031497218,0.0021327953,-0.022005357,0.068972014,-0.055111922,0.054422203,-0.053962387,-0.011199741,-0.054684952,0.032039143,0.11613573,0.06890632,0.041514583,0.0018998095,0.08224091,0.01248065,-0.007890726,-0.036358103,-0.012332853,-0.011495335,0.039806705,-0.074095644,-0.006433282,0.002847148,-0.04703234,-0.09176562,-0.087955736,0.014393802,0.033960506,-0.025273316,0.03184208,0.04519309,0.012431384,-0.0671656,0.0003538408]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"## [](#3-how-to-build-serverless-vector-search-with-lancedb)3 How to build Serverless Vector Search with 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{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"1.  **S3 Express One Zone**: Local Storage has the fastest vector search performance, but is hard to serverless. In order to reduce maintenance costs, serverless is very important, which is also the first goal of my design. However, using ordinary S3 storage will result in high latency. So in order to achieve serverless and maintain high performance, I used S3 Express One Zone.","vector":[-0.0341181,0.025787307,-0.030366063,-0.00982525,0.012384903,-0.04228991,0.011828456,0.112243146,-0.09946078,0.07065277,0.078029655,0.004785437,0.0017995072,-0.042130925,0.07904716,0.054436337,-0.006204375,-0.07052558,-0.016168736,-0.06715511,0.023434334,0.00091316795,-0.026311954,-0.024881095,0.04044569,0.044960853,-0.004829158,0.051956177,-0.064261585,-0.033100598,0.065946825,0.038919438,-0.03176513,0.011216366,-0.0038315295,-0.10575657,0.06836339,-0.027552035,-0.067854635,0.057329856,-0.038315296,-0.0372342,-0.0651201,0.064484164,0.07421403,0.03952358,-0.06734589,0.081463724,-0.02543754,-0.017806279,-0.020811087,-0.04880828,0.06810901,0.004562859,-0.05812478,-0.0020966097,-0.0032373245,0.10461188,0.052655708,-0.046041947,0.07911075,-0.100351095,-0.0071741813,-0.032941613,-0.017377019,-0.015691783,-0.018489912,0.067981824,-0.06365744,-0.025962189,-0.04817234,-0.024865195,0.03949178,0.023911288,-0.019571008,-0.025310352,0.08407107,0.07097074,0.03577154,0.032416966,0.053641412,-0.07408684,0.0070589175,-0.017313426,0.10391235,-0.027599731,-0.13113052,-0.12858677,0.071479484,0.012249765,-0.055294853,-0.067854635,0.009356245,-0.07058917,0.044388507,0.07154308,-0.042957645,0.0078101195,-0.032210287,0.028299263,-0.02834696,0.07402324,-0.12152785,-0.079873875,0.04480187,0.026788909,0.0237841,0.06473854,0.050143752,0.044070538,-0.0060533397,-0.016057447,0.0017726786,-0.022082964,-0.046773277,-0.08597889,0.0175837,-0.059619233,0.029237272,0.0034658648,0.060318768,0.03453146,-0.02543754,-0.06556526,-0.05914228,0.01850581,0.043498192,-0.028966999,0.051924378,0.00858517,-0.02833106,0.030636337,-0.033132397,-0.017440613,0.045088038,0.06912652,0.11415096,0.074722774,-0.014555043,0.03081122,-0.010604274,-0.09291062,-0.013950901,0.0036705576,-0.021176752,0.022051167,-0.047313824,0.004785437,0.012599532,-0.028680826,-0.0022893785,-0.060414158,0.029905008,0.01530227,0.07713934,0.0141019365,-0.009459585,-0.029125983,0.02906239,0.10353079,0.033132397,-0.018696591,-0.028871607,0.050175548,-0.0011605878,0.065946825,0.028013092,-0.005544589,-0.07154308,0.030238876,0.1405424,0.07911075,0.044102333,0.028362857,-0.028521841,-0.05510407,0.08725076,-0.088331856,0.005810888,0.020922376,-0.012011289,0.031129189,0.006379258,0.02130394,-0.0037719102,0.007973079,0.0005291207,-0.02709098,0.033132397,0.0050000665,0.055771805,0.037361387,0.11707628,0.038378887,-0.012750567,-0.016454909,0.040604673,-0.04197194,-0.023482028,0.005008016,-0.033354975,0.00028095563,-0.015222778,-0.0014298679,-0.050207343,-0.025676018,0.04197194,-0.040859047,0.022194253,0.020524915,0.04725023,0.028919304,-0.019904874,-0.042766865,0.03764756,0.014857113,-0.017011356,-0.020032063,-0.09367374,-0.11179799,-0.021160854,-0.023020973,0.032289777,0.021828588,-0.04601015,-0.02109726,-0.08184528,0.0049801935,0.08031903,-0.0068840343,0.009093921,-0.028903404,0.016534401,-0.052369535,-0.0032114894,-0.10461188,0.0015858717,-0.091702335,-0.088141076,-0.050843284,-0.083371535,0.04124061,-0.002064813,-0.04518343,-0.074722774,-0.029125983,0.014205276,0.11275189,0.06995323,-0.026534533,-0.03669365,-0.011057381,0.021892183,0.044420306,0.035230994,0.018950967,0.01198744,-0.078411214,-0.047727186,-0.0558354,-0.051638205,-0.010365797,-0.08934936,0.061081894,-0.066137604,-0.11612237,0.022400934,-0.018791983,0.01662979,0.052782897,0.06899933,-0.081336536,0.003479776,-0.03319599,0.051034063,-0.028283365,-0.069635265,0.034372475,0.033354975,-0.065946825,-0.017329324,0.00992859,0.02926907,-0.050906878,-0.045787573,-0.06556526,-0.01417348,-0.0455014,-0.014006546,0.0073013688,-0.042353503,-0.035548963,0.00003819357,0.046582494,0.030111687,-0.0037421007,0.11415096,-0.017806279,0.006391182,0.028060786,-0.0066813286,-0.009149565,0.034913022,-0.009395991,-0.052369535,0.004467468,-0.098634064,-0.01592231,-0.026629925,-0.03787014,0.12680614,0.023307147,0.056821104,-0.124516755,0.08362591,0.08044622,0.030000398,0.030048095,-0.046041947,-0.021796793,0.0940553,-0.03538998,-0.12534347,0.014133733,0.0038056944,-0.041558582,0.053069066,-0.006383233,0.018028857,-0.00016730648,-0.029523445,-0.03049325,-0.049189843,0.08566092,0.0021681527,-0.05761603,-0.057202667,0.021860385,0.06111369,0.025596526,0.07828403,-0.07828403,-0.008124114,0.079683095,0.023625115,0.045914758,-0.076058246,0.005504843,0.038919438,-0.042162724,0.0018919171,0.0021999497,-0.02192398,-0.07631262,0.04674148,-0.010707615,-0.005504843,-0.024117967,0.007921409,0.11523206,0.018362723,-0.016041549,-0.05984181,0.11535925,-0.0017498245,0.035835136,0.07669418,0.025930392,0.048967265,0.002291366,-0.06197221,0.05033453,-0.044293117,-0.0151432855,-0.09678984,-0.02605758,0.0796195,-0.008736205,0.036025915,0.06314869,-0.011081228,0.03364115,-0.01519893,0.011764863]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"2.  **Reduce network latency**: I tested the vector search performance of S3 Express One Zone on fly.io and zeabur and found that the fastest one took **more than 100 milliseconds**. Finally, when I accessed it from an EC2 machine in the same region as S3 Express One Zone, I got a latency of **40 milliseconds**. I speculate that the reason why the latency cannot reach 10 milliseconds is that","vector":[-0.057350826,0.017173499,-0.018573355,-0.042053424,-0.029671187,-0.013457384,0.055849947,0.13369352,-0.111873075,0.0152396755,0.015874662,0.022498727,-0.013818172,-0.07983512,0.03974438,0.07082985,-0.019641288,-0.04906714,-0.042197738,-0.057524003,-0.0143304905,-0.048345562,-0.042082287,-0.03726216,-0.020795807,0.039657794,0.0018057429,0.05261729,-0.060381442,0.03553038,0.050452564,0.02310485,-0.007930116,0.02293167,0.099404246,-0.0857809,0.039080534,-0.052934784,-0.05348318,0.027203398,-0.06482635,0.03420268,-0.047883753,0.017909506,0.038358957,0.032297723,-0.019699013,0.0689249,0.053887263,-0.07816107,-0.031374104,-0.04442019,0.010549434,-0.0038171348,-0.033914052,0.019367088,0.06655813,0.0844532,0.0366849,-0.098942444,0.08231734,-0.04580562,-0.045488123,-0.04046596,-0.023451205,0.026871474,-0.054868605,0.09086079,-0.021546246,-0.0014566807,-0.05700447,-0.01011649,0.055359278,0.0021917857,-0.016841574,-0.014532532,0.0844532,0.06315229,-0.0013646798,0.049211454,0.08162463,-0.05691788,0.02225339,0.012122469,0.1327699,-0.027015788,-0.18691693,-0.09495934,-0.0057689967,-0.024273802,0.013493463,-0.025947858,0.016119998,-0.06840536,-0.014864457,0.045026314,-0.014193391,0.027289988,-0.05778377,0.096402496,-0.028329056,-0.015066498,-0.06990624,-0.03160501,0.061247334,0.012995576,0.020290704,-0.019814465,0.03437586,0.10540776,0.03475108,-0.061651416,0.00027216927,-0.038358957,-0.07388934,-0.022614177,0.0063029625,-0.008283688,0.044795413,0.02378313,0.08508819,0.10800543,0.03703126,-0.028790865,0.009993821,0.012569847,0.027145673,0.032528628,0.04603652,-0.06332547,-0.050654605,0.019655718,-0.036338545,-0.0153118335,0.06707767,-0.02492322,0.057639457,0.116202526,0.017159067,-0.0064797485,-0.03752193,-0.076429285,-0.049817577,0.04727763,-0.036800355,-0.0021917857,-0.07556339,0.044160426,-0.028819729,-0.06217095,-0.023379048,-0.09980833,0.04554585,0.0052025598,0.040639136,-0.010953517,0.047508534,-0.024908789,0.026149899,0.113027595,0.006028764,-0.084395476,0.0017642522,-0.014337706,-0.0018562531,0.033740874,-0.0036096817,-0.03027731,-0.064595446,0.043958385,0.09449753,0.04975985,-0.07567885,0.007287913,-0.060958702,0.007908468,0.027087947,-0.11042992,0.026813747,0.06465317,-0.03688694,-0.022354411,0.03226886,0.053252276,-0.040927764,-0.04710445,0.0055380925,-0.027535323,0.046296287,0.007706427,0.000678732,0.063729554,0.12480371,0.024519138,-0.011776113,0.014243902,0.028603256,-0.0077785845,-0.0187321,-0.015975682,-0.038993943,-0.023537794,-0.033077024,-0.0372333,0.025543775,-0.0013736995,0.09536342,-0.06424909,0.0033571303,0.040350504,0.04286159,-0.036049914,-0.024865493,-0.031200927,-0.012981145,0.03682922,-0.028660981,-0.0007955371,-0.13196173,-0.026323076,-0.057754908,0.047421947,-0.024187213,-0.0048850668,-0.11423984,-0.039975286,-0.047768302,-0.01275024,0.10136694,-0.021647267,0.0073059527,-0.055590183,0.021560678,-0.024807768,-0.06447999,-0.070772134,-0.011833839,-0.06482635,-0.054666564,0.0067178686,-0.08658907,0.028863022,0.033336792,-0.093227565,-0.045314945,-0.1161448,0.025543775,0.047883753,0.02463459,0.0015216224,-0.010910222,-0.07400479,0.027448734,0.049788713,-0.01456861,0.068059005,-0.0414473,-0.027766228,-0.06701994,-0.06378728,-0.00091053813,-0.00014363864,-0.08381822,0.06886717,-0.06026599,-0.062228676,0.02368211,0.0232203,-0.0153839905,0.005278325,0.020362861,-0.059804182,0.045516986,-0.038416684,0.019395951,0.0047118883,-0.07256164,0.013269775,0.076660186,-0.08110509,-0.011675092,0.030190721,-0.00053892675,-0.01417896,-0.008290904,-0.014979908,0.016639533,-0.04768171,-0.008406355,-0.004044431,-0.056513797,-0.009178441,-0.011639014,0.021560678,-0.0293104,0.002213433,0.055330414,0.0048273406,-0.02290281,-0.008413571,-0.042746138,0.064422265,-0.00336615,0.023754267,-0.020117527,-0.03792601,-0.042140014,0.016769417,0.020579334,-0.016018977,0.11516346,0.01718793,0.05328114,-0.15424399,0.05567677,0.017996095,0.06563451,0.045834478,-0.026092172,-0.10517685,0.120070174,-0.024605727,-0.101655565,0.072330736,0.055359278,-0.011574072,0.06297912,-0.0055705635,-0.009257815,0.0056824074,0.005224207,-0.047046725,-0.014936614,0.071464844,0.016754985,-0.07810334,-0.08918674,0.039311435,0.10009696,0.055330414,0.030190721,-0.00773529,-0.0324709,0.06586542,0.019727876,-0.023696542,-0.003391405,-0.02176272,0.040725723,-0.00054073066,0.0020023722,0.010203078,0.009279462,-0.07677564,0.03694467,-0.052386384,-0.052184343,-0.017144635,0.02463459,0.12261012,0.03809919,0.010376257,-0.0784497,0.10719726,-0.061709143,0.0038604292,0.014792299,-0.035155162,-0.018255861,-0.016062273,-0.058591936,0.018457903,-0.015557169,0.04765285,-0.11562527,-0.022224527,0.04707559,0.019395951,-0.005018558,0.029267104,-0.045199495,0.035732422,-0.022744061,-0.023379048]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"is that LanceDB initiates multiple IO requests to S3 Express.","vector":[-0.052241176,0.04794013,-0.03470614,0.0059718383,-0.07999947,-0.0026612729,0.029362917,0.1296931,-0.10163705,0.059751466,0.112224236,0.044201527,0.00684859,-0.0038916203,-0.012348968,0.07854373,-0.09627728,-0.028899727,0.044366952,-0.013126465,0.03550018,0.014201726,-0.038907934,0.075830765,-0.011141365,0.027228935,-0.018428331,0.025293464,-0.106798306,-0.044499293,0.07887458,0.05981764,0.041852497,0.0061248564,0.016302623,-0.09442452,0.10302661,-0.04248111,-0.043903764,-0.06861824,-0.04674907,-0.07947011,-0.05730318,0.033266943,-0.043837592,0.030107329,-0.020975875,0.04813864,-0.06775803,0.027973348,-0.04314281,-0.08734434,-0.032324024,-0.067228675,-0.09548324,-0.038610168,0.014267896,0.035136245,0.03369705,-0.025806282,0.009098369,0.00001106602,-0.045690354,0.08264627,0.06312613,-0.027245479,0.010802245,0.06494581,0.074110344,0.031596154,-0.053796172,0.053498406,0.051083203,0.0061207204,0.053597663,0.017237272,-0.0042679617,0.026070962,0.02673266,-0.008192667,0.049098104,-0.06742718,-0.049230445,0.024648307,0.08966029,-0.04919736,-0.116194434,-0.09832855,0.04320898,0.011894049,0.049561296,-0.028949354,-0.019106574,-0.07384567,-0.06752644,0.03695592,0.044532377,0.05644297,-0.028767386,-0.034871563,0.0001919187,0.027427446,-0.079403944,-0.026004791,-0.027030425,0.059850723,0.031496897,-0.010992483,-0.02990882,0.12744333,0.0058064135,0.0016894016,-0.008337414,0.037187513,-0.06243135,-0.0766248,0.023357993,-0.00834155,-0.062067416,-0.036492728,0.077088,0.02081045,-0.028535793,-0.09482154,0.02473102,0.018295992,0.06362241,0.0010742279,-0.0034325663,-0.007787376,-0.06322539,-0.037319854,-0.03990048,-0.02160449,0.021025503,0.004243148,0.04281196,0.03245636,0.0070057437,-0.06296071,-0.12982544,-0.15894023,0.053101387,-0.042977385,0.07053717,0.012183542,-0.04456546,-0.0066914363,-0.041190796,0.03243982,0.05230735,0.0016035874,0.07325014,0.019503593,-0.07258844,-0.024036236,0.0106450915,-0.043043554,0.01575672,0.07252227,-0.03937112,0.027841007,0.06557442,-0.016989136,-0.029032066,0.010818787,0.019503593,-0.008457347,-0.14398582,0.050586928,0.102563426,0.030289296,-0.0030024615,-0.043903764,-0.018031312,0.011588013,0.07212525,-0.030769028,0.036393475,-0.017138017,0.033945184,0.010413497,0.014449864,0.026600322,0.062199757,-0.045425672,0.012357239,-0.033002265,0.0036745002,0.026269471,0.02625293,-0.019056946,0.05300213,0.009321692,-0.0031265302,0.02206768,0.03530167,-0.07133121,0.007828733,-0.033597793,-0.019453967,0.051943414,0.013200905,-0.080065645,-0.015855975,-0.062662944,0.023953523,-0.096872814,0.07589693,-0.011017297,0.02526038,-0.014640102,0.07000781,-0.0040653166,0.06269603,0.049495123,-0.043804508,-0.026186759,-0.0145491185,-0.05816339,-0.020661568,-0.0015219089,0.017518494,0.027162766,-0.04552493,-0.123274624,-0.010289428,-0.003918502,0.054358616,-0.03503699,0.07325014,0.062332094,0.07530141,-0.05750169,-0.101173855,-0.09965195,0.06573985,-0.113679975,-0.0061910264,-0.025078412,-0.08277861,0.045855775,-0.00064308924,-0.060380083,0.008891587,-0.017717006,0.09746834,0.08707966,0.012514392,-0.092240915,0.012679817,-0.05885817,-0.060942527,-0.0077170706,-0.02605442,0.033945184,-0.021951882,0.06183582,-0.029247118,-0.118973576,-0.038113892,-0.038643252,-0.025293464,0.034805395,-0.039073355,-0.14504454,-0.013167821,0.03437529,-0.030487806,-0.06875058,0.07358099,-0.02453251,0.03470614,-0.01442505,-0.0053928513,-0.037749957,-0.09899025,0.077220336,-0.01961939,-0.03358125,-0.066930905,0.023821183,0.04840332,-0.108584896,-0.060347,-0.02167066,0.03404444,-0.0089412145,0.031149505,0.04334132,-0.038180064,-0.03404444,0.010405225,0.115135714,0.042249516,0.06044625,0.08741051,-0.00884196,0.007100863,-0.037055172,-0.040396757,-0.0114143165,0.022117307,-0.045855775,0.008118226,-0.007291102,-0.092240915,-0.027080053,0.0022994059,0.010744346,0.026104046,-0.0030458856,0.068684414,-0.09058666,-0.011894049,0.035864115,0.048833426,0.08535924,-0.01229934,-0.04827098,0.06521049,0.04062835,-0.090785176,0.087609015,0.028238026,-0.015938688,0.020297633,0.006248925,-0.04827098,-0.038080808,0.029032066,-0.0462528,-0.03285338,-0.008316736,-0.08535924,-0.03157961,-0.0852269,-0.03894102,0.03285338,0.039999735,-0.0339121,-0.01741924,-0.05012374,0.0116789965,0.010289428,0.057534773,0.059949975,-0.023424163,0.05690616,-0.022150392,0.0019158269,0.0024586273,0.018180195,-0.030289296,-0.014838612,-0.029412543,0.02259704,-0.03609571,-0.056839988,0.045061737,-0.018461417,0.00310792,-0.023771556,0.0063192304,0.025012242,0.041190796,0.023655757,-0.08033032,0.020066038,-0.0339121,-0.017005678,0.01010746,0.006947845,0.046087373,0.041290052,-0.008726163,0.024416713,0.015475498,0.013879147,0.06269603,0.014664915,0.06435028,-0.08337414,-0.03152998]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"3.  **Fast local embedding**: Embedding is the pre-step of vector search. In order to obtain the overall low latency of vector search, the latency of embedding must also be very low. In my previous blog, I introduced how to build an emebeeding service with **a few milliseconds**. [Hybrid AI Search 1 -- how to build fast embedding service](https://www.memfree.me/blog/fast-local-embedding-service)","vector":[0.00985965,0.014687635,-0.036270235,-0.019025277,0.062099956,-0.0006831787,0.018693354,0.13397658,-0.103801675,-0.026131468,0.030808577,0.026795315,0.048460897,-0.048249673,0.0061858557,0.09372325,-0.0072004865,-0.0034738858,-0.015193065,-0.03814108,-0.054707102,-0.06469499,-0.029465795,-0.0068421597,0.055552,0.00876581,-0.016113399,0.049335968,-0.059384212,0.057453018,0.020865947,-0.023008365,-0.0031004716,-0.019885262,-0.026795315,-0.032196622,0.09818914,0.027926875,-0.05340958,0.004790266,0.031019801,0.049728245,-0.06837633,-0.010078418,0.02795705,0.00017421292,0.0016907377,-0.021710845,0.013367482,-0.08636058,0.07622181,-0.062281005,0.038412653,-0.003826555,-0.01127787,-0.0074758325,0.08666233,0.029239483,0.07030753,-0.027972138,0.009761582,-0.053771682,-0.017154433,-0.10446552,-0.012681004,0.050482616,0.018014418,0.0636087,-0.04891352,0.0018246388,-0.049366143,0.01688286,0.07549761,-0.056819346,-0.0117833,-0.0011805932,0.038382478,0.07175592,0.02516587,0.015736213,0.10555182,-0.029646844,0.047525477,0.010297187,0.14483954,-0.0008929886,-0.04275784,-0.11919087,0.005861475,0.03783933,-0.1604098,-0.036571983,0.049547195,-0.028635984,-0.017923893,0.01465746,-0.021077171,0.004986403,-0.062160306,0.08913667,0.038593702,-0.038382478,-0.0047827223,-0.03264925,0.045594282,0.03702461,0.046559878,0.035666738,0.016897947,0.062099956,0.014883772,-0.06698829,-0.028817033,-0.035696913,-0.0064687454,0.0034757718,-0.017214783,-0.12371711,0.05138786,-0.01305819,0.03243802,-0.0052240305,0.018753704,-0.016203923,-0.023415726,0.024833947,-0.007638023,-0.02605603,0.062401704,-0.040343847,0.00043376425,-0.0045601823,0.030989626,0.00068270724,0.080325596,0.056698646,0.08201539,0.11593199,0.085938126,-0.010862966,-0.057905644,-0.05271556,-0.08720548,0.016083224,-0.023521338,0.020986646,-0.08231714,-0.019583514,-0.02860581,-0.017788107,-0.15389201,-0.042606965,0.061617155,-0.018044593,0.043904487,-0.059535086,-0.0007520152,-0.045865856,0.034670964,0.058237568,0.07821336,-0.09517165,0.01824073,0.04613743,-0.0015106312,0.02896791,-0.031472426,-0.08925737,-0.009060015,0.0467711,0.062462054,0.109293506,0.039348077,0.010938403,-0.07030753,0.022842404,0.0549485,-0.096499346,-0.0087054605,0.0055031483,-0.012107681,0.045413233,0.054405354,0.08098944,-0.07000578,-0.022389779,0.053620804,-0.0041980837,0.095232,-0.019975787,0.03427869,0.04067577,0.12492411,0.0012833765,0.009278784,-0.094869904,0.052564684,0.03144225,-0.038563527,0.03642111,0.0049185096,-0.082196444,-0.004692198,0.016686723,0.064151846,-0.043029413,0.008984578,-0.039076503,-0.05265521,-0.037567757,0.045805506,-0.007524867,-0.0802049,-0.09613725,0.011111909,0.002259346,-0.078454755,0.007607848,-0.10669846,0.00832073,-0.058026344,0.011534357,0.034248516,-0.08123084,-0.010349993,-0.0480988,-0.0163548,-0.0387144,0.02883212,-0.038352303,0.07296292,-0.015841825,0.006977947,-0.017395834,-0.037597932,-0.07302327,0.0029269657,-0.086119175,-0.027112152,0.06759179,-0.029133871,0.040223148,-0.050905064,-0.050271392,-0.018693354,-0.059535086,-0.022133293,0.0068949657,-0.027263027,0.0040547526,0.020156836,-0.022389779,0.064332895,0.0044772015,0.011232608,0.09197311,0.001984,-0.002340441,-0.043632913,-0.0039529125,-0.017682495,-0.028575635,-0.05407343,0.036270235,-0.05425448,-0.07187662,0.075075164,-0.021891894,-0.013020472,0.102292925,0.067833185,0.00092410645,0.028847208,0.047223724,0.032106098,-0.07773055,-0.044779558,-0.03452009,0.06813493,-0.073445715,0.0005954829,0.0550692,0.008961947,0.028379498,-0.05597445,-0.0792393,-0.0016483042,-0.043270815,-0.034188166,-0.059203163,-0.028741596,-0.029707193,-0.035395164,0.038382478,0.01704882,-0.0073174145,0.05383203,-0.002038692,0.01107419,-0.09257661,-0.039408427,0.050422266,-0.023430813,0.0036191028,-0.061979253,0.034972716,-0.018150205,0.03808073,-0.024019225,0.008622479,0.053560454,-0.0014851711,0.00927124,-0.050361916,0.0936629,0.04517183,0.009731406,0.026599178,0.009308958,-0.06716934,0.007943544,-0.051629264,-0.1594442,0.057181444,0.037356533,-0.008343361,0.07042823,0.021846632,0.025150783,0.03237767,-0.07187662,-0.077006355,-0.08642093,0.052383635,-0.055612348,-0.08895562,-0.040162798,0.064212196,0.03542534,-0.011489095,-0.026403042,-0.02202768,0.0018642433,0.010961034,0.0394386,-0.015615514,-0.020881034,0.016203923,0.04459851,-0.055702873,0.001959483,-0.051810313,0.014642373,-0.073325016,0.006977947,-0.121966965,-0.040313672,0.033313096,-0.061979253,0.1581165,0.023792913,-0.047616,-0.010251923,0.076946005,0.0032588898,-0.07079033,0.050482616,0.0113231335,0.022797141,0.02261609,-0.036662508,0.04073612,-0.047616,-0.003392791,-0.109534904,-0.006970403,0.08901597,-0.049969643,0.012628198,0.050211042,0.019477902,-0.022993278,0.017863544,-0.022404866]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"4.  **Timely compaction**: In LanceDB, each import generates a new version. Similar to all column-based databases, to achieve the best query performance, we need to compact small files in a timely manner. The problem here is that Lancedb does not officially expose an API for the number of versions. To solve this problem, I introduced **upstash redis**. It can also count the number of queries and","vector":[-0.09265758,0.044612907,-0.05427787,-0.0024425043,-0.0520017,-0.018401949,-0.06502839,0.1197615,-0.12487412,0.05858508,0.077039555,-0.008859549,0.008347412,-0.05795476,0.00831677,0.01994274,-0.005865512,-0.03298694,0.05480314,-0.073467724,0.058480028,-0.02741908,-0.031271055,0.06401287,0.018787147,0.07570887,0.017832907,0.02080068,-0.08040129,-0.03971039,0.044647925,0.04471796,-0.02825951,0.010339059,-0.070316106,-0.027471606,0.12137232,0.04842987,-0.022096345,-0.08124172,-0.006999219,-0.0071174046,-0.10155214,0.06579879,0.041496307,0.04079595,-0.026210958,-0.0771096,-0.051371377,0.0888056,-0.028854817,-0.12095211,-0.0034580256,-0.110586785,0.038204618,-0.042266704,-0.03275932,0.056589056,0.046924096,0.008456842,-0.026806265,-0.053962708,-0.019189853,-0.0010620297,-0.009498627,0.01351694,-0.037574295,0.066324055,-0.017438954,-0.03596347,-0.10680484,0.09118682,0.05602877,0.01838444,0.0035171185,-0.0059661884,0.011118209,-0.0043487954,-0.021798693,0.016528487,0.030675752,-0.030483153,-0.0416714,0.01655475,0.060230926,-0.05795476,-0.019102309,-0.09629945,0.07437819,0.00078079157,0.027296517,-0.050005678,-0.016073253,-0.074028015,0.019522524,0.11731023,-0.038099565,0.008417447,-0.03296943,-0.03170878,-0.05620386,0.048289794,-0.047134202,-0.0479046,0.07823017,0.0040686517,-0.012422629,0.018454475,0.032164015,0.10260268,0.03365228,0.015162786,-0.11002649,-0.0014521519,-0.120391816,-0.04923528,0.0652385,-0.06747965,-0.05690422,-0.01612578,0.01857704,0.06709445,-0.040130608,-0.048604958,-0.016589768,0.029695248,0.022183891,-0.031463657,-0.00076054677,0.021185879,-0.09791028,-0.029169979,-0.04702915,-0.03522809,0.064398065,0.052281845,0.15197803,0.089576,-0.020888226,0.03314452,-0.031113476,-0.092027254,0.04597861,-0.058935262,-0.010864329,0.016528487,-0.023829736,0.024407532,-0.030763296,0.084743515,-0.008837663,-0.07605905,0.12662502,0.058199883,-0.0130529525,-0.031883873,-0.044682942,-0.016528487,0.02323443,-0.0033420285,0.015810618,0.0016086384,-0.00080814934,0.032899395,0.006894165,0.03536816,0.0015254708,0.003613418,-0.044858035,0.039675374,0.084883586,0.022096345,0.0021897182,-0.01805177,0.021483531,-0.006395159,0.03366979,-0.037924472,0.007441321,-0.008207339,0.11836077,-0.06702442,-0.03086835,0.015276594,0.078790456,-0.0025037855,0.0025169174,-0.024915293,0.070911415,-0.005007571,0.077599846,0.018664584,0.041006055,-0.006907297,0.008732609,0.01351694,0.035123035,-0.049340334,0.046153698,0.028539654,-0.012475155,-0.049725533,-0.021536058,0.07290743,-0.003985484,0.016966213,-0.0014937357,-0.003031244,0.06016089,-0.036488738,-0.027524132,-0.039570317,-0.020152848,-0.03401997,-0.030045427,0.043632403,-0.015819373,-0.035508234,-0.00459611,-0.041706417,0.019890213,-0.03764433,0.057639595,-0.034720328,-0.009883825,-0.08243233,-0.049200263,0.07542873,0.033319607,0.0038826186,0.14035207,0.030885858,0.062016845,-0.031288564,-0.074168086,-0.103933364,0.05739447,-0.07844028,-0.0067015663,-0.030483153,0.0010483508,0.10505395,-0.021728657,0.035823394,-0.048289794,-0.0037381696,0.046188716,-0.0024687676,-0.008535633,-0.04948041,0.05207174,-0.033232063,-0.0016294305,-0.02617594,-0.055223357,-0.01682614,0.04597861,-0.03351221,-0.05011073,-0.07325762,0.0026788756,-0.0958092,-0.10505395,0.024757713,-0.033547226,-0.08747492,0.0220088,0.083552904,-0.013595731,0.043597385,0.057219382,-0.0061938055,0.038624834,0.01300918,-0.0040183133,-0.0045129424,-0.06495836,0.031166002,-0.093778156,-0.0030947141,-0.05756956,0.046678968,0.055048265,-0.024162406,-0.13131742,-0.023146885,0.009463609,-0.066324055,0.013411887,0.0001800143,-0.03767935,0.009778772,0.006640285,0.019259889,0.022078836,-0.0023549593,-0.006307614,-0.018244369,-0.02290176,-0.008990867,-0.06733958,-0.0015889409,0.016397169,-0.03556076,0.010286532,-0.006649039,-0.011766042,-0.0073625306,-0.15323868,-0.013079216,0.020625591,-0.016537242,-0.035928447,-0.088315345,-0.00680662,0.05354249,0.028329546,-0.024775222,-0.017193828,-0.01585439,0.04948041,-0.054873176,-0.15856142,0.060371,0.056799166,-0.03246167,0.0018526701,0.028382074,0.016327133,0.06467821,-0.04338728,-0.016642295,-0.0634876,0.013333096,-0.010137705,-0.060861252,-0.0790706,-0.0395353,-0.00793595,0.017535254,-0.032654267,-0.029275032,-0.031988926,-0.013762066,0.08894567,0.00305313,-0.085794054,-0.013254305,0.11492901,-0.11618966,0.0023111866,-0.03606852,0.010934365,0.108975954,0.060265943,0.034212567,-0.058935262,-0.04856994,-0.01838444,0.06761972,0.05326235,-0.06828506,-0.037749384,0.057499524,0.06397785,-0.010557922,0.02931005,-0.026386049,-0.05879519,0.049655497,0.015136522,-0.023619628,0.013122988,-0.0015856579,-0.06775979,-0.02757666,0.033599753,0.048254777,-0.0034164418,0.04892012,-0.053332385,-0.02656114,0.01805177,-0.026648683]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"of queries and index builds for each user. Using redis's counter, I can know when to trigger the compaction of Lancedb.","vector":[-0.017211264,0.033788167,-0.053954225,-0.035958353,-0.045407023,0.014456795,-0.014181348,0.09729122,-0.101564825,0.09962835,0.06196723,-0.0034284806,-0.027978739,-0.055022627,0.03393841,0.030716514,-0.05068225,-0.03736063,0.03722708,-0.028746651,0.018045953,0.000347178,-0.050749026,0.01519132,-0.0270105,0.05565699,0.019264597,-0.015575277,-0.040231958,-0.019030884,0.03939727,0.032486055,-0.03519044,-0.017111102,-0.0106756585,-0.13388394,0.13728946,-0.03332074,-0.039163556,-0.073118664,-0.007987963,-0.023087468,-0.13548654,0.046842687,0.055456664,-0.09288407,0.02110091,-0.08934499,-0.08173264,-0.0014763542,0.015842376,-0.05538989,-0.012628828,-0.03602513,-0.020065898,-0.09902737,0.017611915,0.01101788,0.023838686,0.06677503,0.012887581,0.041200195,-0.035056893,0.022236086,0.024673374,0.056391515,-0.017795546,0.07578966,0.07024734,0.03230242,-0.017795546,0.1061723,0.05579054,0.0054254713,-0.013471863,0.06897861,0.09528797,-0.037193693,-0.009340158,0.023104161,0.028229145,-0.008246716,-0.0013292405,0.02655977,0.038228706,-0.082200065,-0.0262092,-0.079128414,0.12580416,0.051450163,-0.027644863,-0.036091905,-0.043771032,-0.04570751,-0.031067085,0.10443615,-0.011618855,0.01583403,0.024639986,-0.009281729,-0.03659272,0.011643896,-0.03736063,-0.08366912,0.061499804,0.059596717,-0.0124118095,-0.04126697,0.0041296184,0.07472126,-0.012269912,0.045607347,-0.11425208,0.03225234,-0.10149805,0.018646928,0.02021614,-0.012979397,-0.1048368,-0.06410403,0.0034910822,0.066374384,-0.010041296,-0.02243641,-0.0023329528,0.019631859,0.057693627,-0.020666873,0.05064886,-0.023838686,-0.0013793218,0.018463297,-0.036258843,-0.068177305,0.098092526,0.04220182,0.13174714,0.09321795,0.05432149,0.035023503,-0.018680315,-0.043236833,-0.011093003,-0.11204851,0.01794579,0.072517686,-0.022286167,0.014089532,-0.0012624655,0.015625358,0.032319117,-0.012820806,0.09822607,0.078527436,-0.054121163,-0.07779291,-0.06984668,-0.023888769,-0.03976453,0.035290606,-0.012762378,-0.05335325,0.044038136,0.004870404,-0.018045953,0.05271889,-0.026159119,0.026676625,-0.045774285,0.02869657,0.036559332,0.08787594,-0.017511752,0.03038264,0.09455345,0.045139924,0.047477048,-0.043069895,-0.02923077,-0.009315117,0.076190315,0.03562448,-0.049413525,-0.041734394,0.123333484,-0.05969688,-0.017311428,0.0028880201,0.09321795,0.012428503,0.032903396,0.018062646,0.07572289,0.020082591,0.01166059,0.0070322454,0.008764223,-0.09295084,0.07505514,-0.073719636,-0.030499496,-0.032285728,-0.029080527,0.021534948,-0.007720863,0.029631421,-0.009390239,-0.001687113,0.023821993,0.0004828148,-0.026977113,-0.04477266,-0.023287792,-0.01941484,-0.019114353,0.05121645,-0.03779467,-0.004140052,0.057059266,-0.009540482,0.029664809,-0.053987615,0.08627334,-0.008021351,0.016485086,-0.099094145,0.030933535,0.104502924,0.021534948,-0.032719765,0.09608927,0.060030755,0.031617977,0.061399642,-0.076190315,-0.1043026,0.04767737,-0.088209815,0.047410272,0.01754514,0.0068194,0.072384134,0.020516628,0.053987615,-0.003499429,-0.04166762,-0.004958046,-0.047510434,-0.014640426,-0.03976453,-0.0045240084,-0.0055882353,0.008680754,-0.057493303,-0.04744366,0.0013970588,0.060398016,-0.0065856874,-0.011961077,-0.104636475,0.017478365,-0.08119844,-0.05672539,0.0010470117,-0.026125731,-0.06353644,0.08740852,0.043270223,-0.037126917,-0.020850504,0.053687125,0.028346002,0.03323727,-0.012770725,-0.085271716,0.03390502,-0.049046263,0.026943726,-0.12340026,-0.02123446,-0.05709265,0.08720819,0.09021307,-0.058127668,-0.07625709,-0.01714449,-0.03297017,-0.026643237,-0.027811801,-0.000321094,-0.07846066,0.0028588062,0.07899486,0.039196946,0.019297985,-0.0039105127,-0.01045864,-0.008922813,0.004125445,-0.015266442,-0.059563328,-0.0012937663,-0.07485481,-0.030315865,0.021701885,-0.021334622,0.03846242,0.0015201754,-0.0970909,-0.045507185,-0.005392084,-0.026109038,-0.019297985,-0.08620657,0.019131048,0.03140096,0.0025416247,0.03752757,0.0022286167,-0.03976453,0.032586217,0.0071824896,-0.15184642,0.04597461,0.0036684533,-0.029047139,-0.02332118,0.054889075,0.03410535,0.036893204,0.0023120856,-0.060965605,-0.06497211,-0.09782542,-0.06326935,-0.07745904,-0.04286957,0.036492556,0.0044488865,-0.0478777,-0.06089883,-0.039430656,-0.07164961,-0.004578263,0.04126697,0.04393797,-0.04674252,0.0521513,0.04767737,-0.058094278,0.0019406494,-0.076657735,0.03215218,0.05151694,0.06677503,0.022569962,-0.03428898,-0.024489744,-0.0066691563,0.059463166,0.0004045628,-0.063369505,-0.03512367,0.0644713,0.0018832646,-0.016460046,0.020065898,0.0049204854,0.020600097,0.08954532,0.010283355,0.009515442,0.051450163,0.021918904,-0.06430436,-0.022519879,-0.004565743,0.038362257,-0.045340247,0.053152926,-0.04357071,-0.03327066,0.066207446,-0.03549093]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"5.  **Fast HTTP Service**: In order to encapsulate lancedb into a service, we need an HTTP service. Since the main language of my entire project is TS, I naturally chose Bun. So far, Bun, like lancedb, has given me a good experience.","vector":[-0.039571572,-0.017298523,-0.047562912,0.009275089,0.041593477,-0.029301578,0.0012867581,0.13915843,-0.11893938,0.03764595,0.068295464,0.05510494,-0.011505604,-0.056934282,0.024503566,0.059886906,-0.032591186,-0.0675894,0.013663908,-0.021197911,0.014410087,0.034661233,-0.024904737,-0.047627103,0.05295466,0.05670963,0.06409118,0.047081508,-0.067011714,-0.011441416,0.022674223,0.061074376,-0.043037698,0.018935302,0.009251019,-0.07952827,0.07150484,0.026910596,-0.025803361,-0.07099134,-0.029927406,0.024680082,-0.06675497,0.027006878,0.055811003,0.010590932,-0.0038412188,-0.02264213,0.06675497,-0.018774834,-0.0050627864,-0.09666633,0.06656241,-0.027167346,-0.03251095,0.013888563,-0.017523179,0.031820938,0.04467448,-0.07092715,-0.022914926,-0.1392868,0.0015675783,-0.05157463,0.039764136,0.1315843,-0.012540626,0.09332858,0.019593224,0.007160914,-0.111429445,0.041304637,0.00600554,0.029542282,0.04701732,0.030023688,0.04743454,0.039571572,-0.07843708,0.011048268,0.07657565,-0.023620987,0.008793683,-0.050483443,0.065727964,-0.038191542,-0.038223635,-0.13492206,0.029702751,0.005215232,0.018822975,-0.05356444,0.01044651,-0.08633214,-0.013679954,0.049713194,-0.0039435173,-0.020459754,-0.018710647,0.073815584,0.0074256877,0.035046358,-0.010590932,-0.07471421,0.06335303,-0.024471471,0.064572595,0.021470709,-0.0047779544,-0.01116862,-0.007521969,0.050836474,-0.06486144,-0.029847173,-0.06919409,-0.040566478,-0.05115741,-0.12407438,-0.019641366,-0.036971983,0.07124809,0.044802852,-0.011698166,-0.06925828,-0.023749363,-0.012572721,-0.017956443,-0.029542282,0.018116912,-0.017651554,-0.08029852,-0.005512099,0.005480005,-0.045412634,0.08690983,-0.00039690922,0.07111971,0.012123408,0.037421294,-0.073623024,0.008079598,-0.09294345,0.02914111,-0.031820938,0.09589608,0.055137035,-0.013046103,-0.025899643,-0.020957207,0.059501782,-0.064572595,-0.06322466,0.093970455,0.058057565,-0.055971473,-0.023187723,0.050676007,0.04178604,0.0020740575,0.061491594,-0.051799286,-0.011577815,0.0013369046,0.01577407,0.05269791,0.05542588,0.018855069,-0.018534131,-0.07715333,0.03498217,0.09121039,0.02233724,-0.047723383,-0.004336666,-0.04178604,0.08536933,0.049552724,-0.023027254,0.074906774,0.037325013,0.06537493,0.06450841,0.028082017,0.020010443,0.007521969,0.0055602393,-0.007730578,-0.0014763117,0.04522007,-0.021775598,0.00039013944,0.0029907348,0.078180335,-0.024102394,-0.0003743433,-0.0039134296,0.020411614,0.06344931,0.006715614,0.051446255,0.0041681738,-0.017988538,-0.019416708,-0.038640857,-0.039732043,-0.07676821,0.045444727,-0.02007463,0.015525344,0.014995798,0.053596534,0.006627356,-0.010462557,-0.004529228,-0.021952113,-0.03902598,-0.052409068,-0.0021121688,-0.053275596,-0.040438104,0.014658812,0.018710647,-0.030970452,0.01659246,-0.059694346,-0.07676821,0.026365003,0.022898879,0.05568263,0.0036446447,0.098014265,-0.020475803,-0.0024250827,-0.021583036,-0.1055242,-0.022529801,0.059020378,-0.13299644,-0.024551706,0.09076108,-0.028098064,0.06855222,-0.036971983,-0.06932247,-0.120287314,-0.07625471,-0.038223635,0.028258532,0.014971727,-0.08434233,0.0077987774,-0.018839022,0.11341926,0.061395314,-0.046182882,0.061042283,-0.0073454534,0.00012298419,0.00024822497,-0.060913906,-0.044064697,-0.055490065,-0.027359908,0.08690983,-0.0455731,-0.104625575,0.045508914,0.056292407,-0.012749236,0.040181354,0.108155884,-0.07593378,0.061234843,0.08896383,0.05356444,0.021583036,-0.035238918,0.023332145,0.040438104,-0.034950078,-0.029205298,0.08877127,0.0501946,-0.054527253,-0.07702496,-0.054334693,0.014963703,-0.03655476,0.003626592,0.0021863857,-0.025113346,-0.0012987932,0.012701095,-0.016576413,0.039507385,0.038448293,0.06470097,0.03610545,-0.005159068,0.077987775,-0.009892893,-0.00469772,-0.033409577,-0.05321141,-0.001656839,-0.041465104,0.06720428,-0.010631049,-0.08819358,-0.000552614,0.06498981,-0.014706953,-0.09461233,-0.029478094,0.02724758,0.05054763,0.010943963,0.04419307,-0.035014264,-0.01449032,0.017860163,0.0040618633,-0.17690066,0.032960266,0.057832908,0.009459628,0.031050688,0.011272924,0.057030566,0.005816989,-0.016736882,-0.095446765,-0.10770657,0.03729292,-0.06855222,-0.054976568,-0.06239022,0.0068921293,0.054013755,0.008986246,-0.008520886,-0.0154691795,0.021968162,-0.017747834,0.016913397,-0.052056037,-0.0027881432,-0.054976568,0.036490574,-0.04091951,0.002152286,-0.08273765,0.020251146,0.004970517,0.04236373,-0.047915943,0.004248408,-0.062101375,-0.053179316,0.10289251,0.09615283,-0.009780565,-0.032960266,0.1428813,0.04024554,-0.018855069,-0.023653083,-0.04605451,-0.049456444,-0.022144677,-0.08177483,0.00030714707,-0.011120479,0.003056928,-0.033826794,-0.051542535,0.03937901,0.00801541,-0.039090168,0.055714723,0.023540754,-0.034308203,-0.07073459,-0.048204787]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"6.  **Convert Url to markdown**: I use the [Jina-Ai Reader](https://www.memfree.me/blog/fast-local-embedding-service) the convert url to the markdown. This is very easy to use, but the cost may not be low, and the performance is not very good. I may consider implementing it myself later.","vector":[-0.0032059487,-0.024353225,-0.025312014,-0.0026087034,-0.015060968,-0.06487802,-0.02150882,0.14330691,-0.06049955,0.093449906,0.02726155,0.013510927,-0.014925139,-0.0027045822,0.048035298,-0.046117723,-0.015748098,0.028412096,-0.07791754,0.018840192,-0.04790746,-0.03962992,-0.029450784,-0.015124887,0.020166516,0.041771214,-0.007870055,-0.00032558857,0.012751886,-0.019591242,0.061650094,-0.002518817,-0.0007121001,0.024944479,0.0062960437,0.013031532,0.15851969,0.03637004,-0.045222852,-0.04388055,0.053340595,0.048354894,-0.014997048,0.046661034,-0.0049177855,-0.030888965,-0.026590398,-0.05858197,0.016842715,0.0054331343,0.048514694,-0.02722959,0.05110342,-0.05640872,-0.005860594,0.01319932,0.06120266,0.04046087,0.0007036108,0.003227921,0.048195098,-0.056568515,0.05596128,0.00082595623,0.0047220327,0.014421775,-0.08149701,0.03061731,0.032055493,0.023730014,-0.06107482,0.0040149265,0.043560952,-0.04046087,0.049153883,-0.027005874,0.026015125,0.038255658,0.015124887,0.09082922,-0.010035318,-0.0658368,-0.11601339,-0.10783173,0.05880569,-0.06564505,-0.059093326,-0.09894696,0.07440198,-0.0026266808,-0.07369887,0.046756912,0.04458366,0.016059706,0.03633808,0.068265736,-0.025168195,0.022068113,-0.05225397,0.07344319,0.039949518,0.047396105,-0.0365618,-0.070630744,0.05292512,0.02980234,0.054395262,-0.02395373,-0.03879897,0.037392747,0.012376361,-0.026254822,-0.0026646326,-0.0974129,-0.011026067,0.0017467926,-0.038127817,-0.094920054,-0.0124242995,-0.042730004,0.027693005,-0.057271626,0.037584506,0.05698399,0.0034536356,0.056664392,-0.083286755,-0.07663915,0.1372985,0.0062481044,-0.017050454,0.02559965,0.026446579,-0.040109314,0.05040031,0.077725776,-0.015316645,0.064622335,0.046373397,-0.04451974,-0.029402845,-0.12751886,0.06337591,0.028284257,-0.09926656,0.025439853,-0.027788883,0.071653455,-0.031128664,-0.03381327,-0.02641462,-0.03649788,0.060946982,0.017082414,0.019207727,0.0033977064,0.0731236,-0.023538254,-0.025471812,0.011337672,0.0215248,0.030681228,0.010594612,-0.0026586403,-0.015428503,-0.009571904,-0.015140867,-0.0077342265,-0.005548988,0.070950344,-0.010538682,0.06788222,-0.010283005,-0.09837169,-0.04042891,0.081433095,0.107703894,-0.08641879,-0.011066016,-0.006260089,0.026622357,0.020949526,0.034196787,-0.027677026,0.032758605,0.041962974,0.061298538,0.036689635,0.067562625,-0.03633808,-0.10322955,0.0071269935,0.011665259,-0.06289652,0.035666928,-0.003341777,0.011769127,0.06177793,-0.072164804,-0.043209396,-0.034324624,-0.07376279,-0.08769718,0.04359291,-0.0029103223,-0.027581146,-0.028444055,-0.021349022,0.009683763,-0.03048947,0.029946158,-0.06328003,-0.03975776,-0.072100885,0.009260298,-0.031911675,-0.026063064,-0.058102578,-0.07197305,-0.06318416,0.0068193823,-0.026350701,-0.002042419,-0.051646736,-0.07606388,-0.1093658,-0.06436666,-0.040812425,0.027453307,0.057974737,0.07587212,-0.08699407,-0.008764924,-0.0005617901,-0.054395262,-0.09434478,0.002103342,-0.075808205,-0.016634978,0.11946503,-0.026814116,0.023186699,-0.022435648,-0.040077355,0.04554245,0.016650958,0.0045941942,-0.12310843,-0.019303607,-0.036625717,-0.029898219,-0.058933526,0.043528993,0.084437296,-0.03314212,-0.0016489163,0.03947012,0.011649279,-0.038607214,-0.0012254514,0.007099029,0.018488636,-0.04956936,0.034548342,-0.031863734,-0.13410254,0.02727753,0.0052533615,-0.003845141,0.01323128,0.13525309,-0.061586175,0.01976702,0.061330497,0.06692343,0.00037028207,-0.07568036,0.015068958,0.029546663,-0.02978636,0.102079004,0.120359905,0.069863714,0.10776781,-0.09025395,-0.056312837,-0.04141966,-0.052541602,-0.02216399,-0.09523965,0.004538265,0.01815306,-0.0055170283,-0.031016804,0.050783824,0.0079659335,0.084820814,0.026846075,-0.015987797,0.024369204,-0.045126975,0.019063909,-0.03883093,0.002396971,-0.027645065,-0.01738603,0.07977119,0.0691606,-0.01318334,-0.039182484,0.14330691,-0.03704119,-0.06954412,-0.027501248,-0.010107228,0.025871307,-0.005293311,-0.006112276,-0.028428076,0.007442595,0.05366019,-0.08686623,-0.09958615,-0.008661055,-0.018808233,0.08239188,0.049505442,0.008133722,0.06296044,0.055577766,-0.00824558,-0.056440677,0.011169884,0.024401164,-0.056344796,-0.09517573,-0.030073997,0.032534886,0.053372554,-0.018648434,-0.063152194,-0.11786705,0.07791754,-0.026542459,0.011944905,-0.08156093,-0.020230435,0.00829352,0.06775438,0.02734145,0.0019924822,-0.06526153,-0.06318416,-0.011944905,0.027836824,-0.08871988,-0.073634945,-0.102079004,-0.04432798,0.012991583,0.012504199,-0.045606367,-0.031272482,0.034963816,0.014469715,-0.018408736,0.02406559,0.028428076,-0.0108263185,-0.023905791,-0.03889485,-0.019095868,-0.07369887,0.0129276635,-0.017705625,-0.0061881803,0.04528677,-0.013375098,-0.05017659,0.032343127,0.00020673875,-0.02069385,0.01319932,-0.0028723702]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"7.  **Split markdown to chunk**: I use `langchain/textsplitters` to split the markdown to chunk. This step also has a relatively large impact on the quality of the final vectorized search, and I will continue to optimize it.","vector":[0.014335056,-0.001990642,-0.048416305,-0.0055490537,0.012842327,-0.07379268,-0.088460356,0.13797998,-0.0695741,0.13953762,0.05244018,-0.007082345,-0.03783741,0.0027785832,0.054030262,-0.047767293,0.03378108,0.028459182,-0.02514922,-0.030487346,-0.075025804,0.0132722985,-0.03527381,0.008222173,-0.004157734,-0.007009331,0.028021099,0.017215047,-0.0003310976,-0.0004963929,0.03068205,0.02995191,-0.03417049,-0.051693816,0.014237704,0.005139365,0.06295418,0.0007874343,0.024597561,-0.058995202,0.033326775,0.006331925,-0.0800881,-0.0007980821,0.055847496,0.021320049,-0.06827608,-0.07554501,0.07885498,-0.10338763,0.030844303,-0.06749726,0.002922583,-0.08962858,-0.023948548,-0.015146321,0.03806456,0.058735598,0.09741672,0.040660612,0.080996715,-0.08372257,-0.008461496,-0.004940605,-0.07229995,-0.012809877,-0.081321225,0.009986674,0.072819166,0.027599242,-0.06246742,0.05562034,0.015186884,0.008518284,-0.004315931,-0.019892221,0.04387322,-0.036117524,-0.10040218,0.028978392,0.007232429,-0.055360734,-0.08768154,-0.044003025,0.13862899,-0.03420294,-0.012728751,-0.09916905,0.003161906,-0.011471289,-0.11039697,0.00004623578,0.028475408,-0.043613616,-0.04874081,0.05500378,0.01217709,0.011893148,0.034462545,0.018707775,0.02432173,0.024305504,0.020216728,-0.078725174,0.046307016,0.01563308,-0.04176393,0.0014359393,-0.012882891,0.056399155,0.058119036,0.00073774427,0.05824884,-0.005415195,-0.048481207,-0.045917608,-0.025506178,-0.12921831,-0.06094224,0.007702963,0.041342072,-0.008996931,-0.007986906,-0.00579649,-0.016679613,0.065615125,-0.033018492,-0.058443543,0.01523556,0.020086925,-0.06756216,-0.05088255,-0.05721042,0.0103192935,0.041861285,0.06801647,0.07509071,0.12967263,-0.029351573,-0.0043646065,0.01373472,-0.03582547,0.0112928115,-0.021206472,-0.035241358,0.009986674,-0.065031014,0.09021269,-0.051920973,0.045625553,-0.0125015965,-0.064382,0.006433333,0.05068785,0.045301046,-0.02463001,0.08489079,0.02643102,0.0050055063,0.011487515,0.018902479,0.051174607,0.05990382,0.03686389,0.004964943,-0.0015768966,-0.124285825,0.04215334,0.015568179,0.07307877,0.041926183,0.15537351,-0.008729213,-0.027550565,-0.057859432,-0.015024631,0.0015758827,-0.07100193,0.009937999,0.031704243,-0.015186884,0.08080201,0.033910885,-0.019162083,0.11597847,-0.033424124,0.06152635,0.06616679,0.019957123,-0.029367799,-0.044132825,-0.0100191245,0.042088438,-0.015332912,0.011317149,0.03589037,0.013896973,0.0044781836,0.0066523743,-0.069119796,-0.022309793,0.017117696,-0.07229995,-0.012047288,0.0054192515,-0.01734485,0.000036285102,-0.025830682,0.026366118,-0.038194366,0.04926002,-0.0144810835,0.031103907,-0.015422151,0.00032805535,-0.004839197,-0.09657301,0.016922992,-0.048189152,-0.037804957,0.020995542,-0.04231559,0.06775687,-0.105788976,-0.059481964,-0.028378056,-0.08826565,-0.0024561053,0.042705,0.04114737,0.014140352,-0.06279192,-0.01202295,0.012095964,-0.0040847203,-0.122273885,0.0122987805,-0.023899872,0.021612104,0.09131601,0.019551491,0.09053719,-0.019373013,0.014756913,0.060650185,-0.011163008,-0.029173097,-0.008437158,-0.022926355,0.043581165,-0.037675153,-0.025603529,0.027793946,0.026593272,-0.041861285,0.022390919,0.11072147,0.0050095622,-0.1121493,-0.06269457,0.041828834,-0.03430029,-0.032353256,0.018367043,0.034884404,-0.09164052,0.044100374,0.020703487,0.000056344903,-0.07327347,0.08054241,-0.0641873,0.014367506,-0.011455065,-0.022764102,-0.020525008,0.028199578,0.0009922787,0.008189722,0.057891883,-0.04971433,0.10533467,0.0009993773,0.10961815,-0.056853462,-0.03300227,0.036539383,0.020395206,0.0050217314,-0.08820075,0.019259436,0.003648665,0.012452921,-0.03374863,0.00410703,0.01523556,0.085280195,0.05435477,0.0026305274,-0.05510113,-0.06314888,-0.052667335,0.032191,-0.029027067,-0.086772926,0.041374523,0.052180577,0.04130962,-0.14278267,-0.03945994,0.07139134,-0.03227213,-0.076194026,0.031769145,-0.008461496,-0.020054474,0.10559428,0.005488209,0.04429508,-0.07982849,0.03533871,-0.061201844,-0.09566439,0.08411197,-0.03240193,0.023932323,-0.014651449,0.040660612,0.056204453,0.07866027,0.054614373,-0.09293854,-0.05500378,-0.04384077,-0.030114163,-0.06684825,-0.0015748686,0.020979317,0.057534926,-0.007204035,-0.022309793,-0.10501017,0.028572759,-0.07431189,0.008591298,-0.058021687,0.023299536,-0.015584404,0.09365245,0.008493947,0.0019226985,-0.018107438,0.02037898,0.039751995,-0.04926002,-0.053705756,-0.036604285,-0.017474651,0.037545353,0.096443206,0.016906766,-0.012915341,-0.037610255,0.0034316517,0.009937999,-0.035436064,-0.0066929376,-0.0266744,-0.011852584,-0.017847834,-0.0079382295,0.013320974,-0.017847834,-0.04971433,-0.03368373,-0.030909203,0.0856696,-0.090991504,-0.037220847,0.06623169,-0.021368725,0.072494656,0.04715073,-0.10280352]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"## [](#4-the-code-is-open-source)4 The code is open source\n\nThe code repository is [https://github.com/memfreeme/memfree](https://github.com/memfreeme/memfree)\n\nThe vector service code is under vector dir.\n\nWelcome to give a star, thanks.","vector":[-0.005630796,0.08097292,-0.020191412,0.056515224,-0.0207614,-0.09175088,0.096448965,0.12152846,0.03730834,0.108470544,0.028620332,-0.028775785,0.10487789,-0.008485056,0.04449365,0.05492617,-0.0207614,-0.005773293,-0.045495447,-0.002069447,-0.0339575,-0.010121615,-0.005458072,-0.033007517,0.047015417,-0.013152917,0.05841519,0.007850297,-0.034216583,-0.0011475338,0.02330044,-0.020225957,0.023576798,0.015372418,0.029086687,-0.010855691,0.0038754903,0.08954001,-0.018032365,0.021210482,0.017004658,-0.05530616,-0.0109075075,-0.036824714,0.021538658,0.09852165,0.11620857,-0.02518313,0.0448391,-0.059002448,0.060280606,-0.024129514,0.048742656,-0.028188523,-0.015683321,0.009266632,0.054546174,0.03418204,0.025217675,-0.08352923,-0.030019395,0.007159401,-0.009897074,0.06860589,-0.05112624,0.054960713,-0.01865417,0.08891821,0.0024613142,0.026167655,-0.012496566,0.026737643,0.00829506,0.091474526,0.05755157,-0.0062785097,0.024094969,0.01056206,-0.025511304,0.0007243604,0.0066714566,-0.0012608838,0.03717016,-0.007781207,0.052646212,0.01665921,-0.117175825,-0.17631646,-0.10142341,-0.02613311,-0.017427832,0.063700534,0.0017650212,-0.05917517,0.08387467,-0.0030982331,0.040831905,-0.016469214,-0.066084124,0.026115838,-0.018274177,0.057827927,-0.08594736,-0.010872963,-0.040451914,-0.0013742337,0.031021195,-0.026236745,0.044666372,0.030658474,-0.021573203,0.010942052,-0.029587585,-0.00048740496,-0.017211927,0.002137457,0.030140303,-0.09672532,-0.059347898,-0.092510864,-0.008886639,0.024872227,-0.044148203,-0.024872227,-0.0026750597,0.052611668,-0.0081482455,-0.04863902,0.042490054,0.02205683,-0.07689663,-0.055582516,-0.016495122,-0.034924753,0.11855761,-0.0065116873,-0.005639432,0.09762349,0.03041666,0.045011822,-0.07420214,-0.033646595,-0.062076934,0.08290742,-0.09893619,0.014811065,-0.04805176,0.026374923,-0.057309754,0.08940183,-0.070885845,-0.03026121,0.12353206,0.018032365,0.025494032,0.024509506,-0.07288944,0.03121119,0.051091697,0.01418926,0.02221228,-0.0032040265,0.06618776,0.045979075,-0.06556595,0.022229552,-0.015320601,-0.059486076,-0.09672532,0.077034816,0.033042062,0.117314,0.03411295,0.017427832,-0.084358305,-0.03599564,0.042628232,-0.021694109,-0.076413006,-0.07461668,-0.023248622,0.07109311,-0.025960386,0.020053232,0.03599564,0.067535006,0.06677502,0.008126655,-0.00012502234,-0.09921255,0.054995257,0.009508445,0.112546824,0.014508799,0.09416901,-0.05226622,0.025165858,0.04767177,-0.02241955,-0.07544576,-0.07254399,-0.0011140684,0.012453386,-0.023939518,-0.08090383,0.03710107,-0.026547648,-0.046186343,0.053682555,-0.07986748,-0.035615645,-0.00827347,-0.057586115,-0.01686648,0.04204097,0.006917588,-0.036651988,-0.040970083,-0.005043535,-0.012548383,0.0028542606,-0.050918974,0.022954993,-0.035822917,-0.1008707,-0.09071454,-0.052680757,0.07371852,-0.026288562,0.049848087,0.012367024,-0.04608271,-0.04276641,-0.028136706,-0.041315533,0.0066585024,0.026444012,-0.0656005,0.013696997,0.06131695,-0.0058207917,-0.0038603768,0.009327085,0.0018082022,0.047222685,0.011676129,-0.074893035,0.0062655555,0.012954284,-0.04276641,-0.005319893,0.012574293,0.028223068,-0.039450116,-0.047499042,0.08781278,-0.037826512,0.06715501,-0.054200727,0.0034026587,-0.020139594,-0.01509606,-0.114135884,0.035684735,-0.039761018,0.012833378,0.042075515,0.020070504,-0.034959298,0.0070298584,0.13679725,-0.026184928,0.008644826,-0.011658857,0.06629139,0.050538983,-0.03710107,0.011667493,-0.008446193,-0.06774227,-0.01165022,0.06287146,0.0154069625,-0.005242167,0.0097675305,-0.038862854,-0.042075515,-0.12836832,-0.062249657,-0.02141775,-0.019880509,0.0042554825,-0.004061168,0.013006101,0.041142806,0.0063519175,0.0029686901,0.025200402,0.0018211565,0.015070152,-0.1048088,-0.015372418,-0.028482154,0.02742854,0.003866854,0.038966488,0.050642617,0.051264424,-0.031608455,-0.09285631,0.11455042,-0.09416901,-0.07012586,-0.12318661,-0.02656492,0.013878357,-0.010838418,0.017686917,-0.0015426395,0.02039868,0.050262626,-0.013222006,-0.106812395,0.0731658,0.05198986,0.020502314,-0.016685119,0.08719097,-0.02722127,0.046186343,0.047568135,-0.049986266,-0.0016635461,0.012833378,-0.030433932,-0.0609715,-0.0298294,0.06169694,0.14190987,-0.046566334,-0.0988671,0.0051514874,0.03948466,-0.03685926,0.029345773,0.0110802315,-0.018982345,0.031556636,0.066049576,0.0027938073,0.0023037037,-0.03913921,0.07772571,0.01886144,0.056135233,-0.0043094587,-0.016443305,-0.031038467,0.036341086,0.056964308,0.023041354,-0.04428638,0.00983662,-0.0018891665,0.0850492,0.010389336,-0.029587585,-0.070022225,0.01654694,0.046946328,0.0011518518,-0.038517408,-0.06829499,-0.0355811,-0.004508091,-0.13797177,0.0011842375,0.017220562,-0.051817138,0.06024606,0.036548354,-0.034752026,0.001389347,-0.034061134]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"## [](#series-of-hybird-ai-search)Series of Hybird AI Search","vector":[0.030698113,-0.028610785,-0.029978344,0.0040936815,0.03915539,-0.0070042443,0.024724036,0.09299405,-0.034260966,0.06791013,0.07874264,-0.01981162,0.061144307,0.0031804757,-0.013765566,0.031363897,-0.052830983,0.022348803,-0.041674577,-0.14323387,-0.063267626,-0.042862196,-0.061216284,0.054378487,0.023680372,-0.045849234,-0.026685406,0.018606007,-0.10854104,-0.0006134899,0.06542692,0.0183181,0.07406414,-0.017778274,0.0009480696,-0.05139145,0.01226305,0.092058346,-0.0024134726,-0.0013956755,0.06945763,-0.03886748,-0.06629065,0.006491409,0.06697443,0.015924871,0.014611294,0.018102169,0.051211506,-0.022420779,0.035232652,-0.019721648,0.09342591,-0.016194783,-0.0319757,-0.04001911,0.11062837,0.03782382,0.027873022,-0.0024674553,0.029078634,-0.0011696232,-0.031759772,0.011588268,0.0037697859,-0.0686299,0.05088761,0.058733083,0.040199053,0.043330044,-0.022996593,0.032245614,0.008479768,0.03077009,0.035664514,0.002906064,0.04030702,0.042394344,-0.040738877,-0.009312001,0.005501728,0.0064779134,0.03312733,0.010193717,0.13092583,-0.008686702,-0.029492501,-0.22514348,-0.061900064,-0.023158541,-0.10019173,-0.00409818,0.068341985,0.014746251,-0.0055557108,0.025695724,0.012308036,0.005893102,-0.087235905,0.0332173,0.10055161,-0.0431501,0.009208534,-0.050995573,0.053442787,-0.019181821,-0.037463933,0.029294565,-0.066146694,0.180086,-0.062080003,-0.0010802146,-0.040630914,-0.06809007,-0.0047864583,-0.020711329,-0.0860123,-0.1207771,0.027117265,-0.12128094,-0.0101217395,0.016491689,-0.011246378,-0.075431705,-0.06708239,0.016014842,-0.03005032,0.030014332,0.02760311,0.00412967,0.021197172,0.008821659,-0.011273369,0.060748436,0.03667219,0.055889998,-0.018839931,-0.028610785,0.0056771715,0.016932547,-0.14136247,-0.034332942,0.0015666204,-0.024364153,-0.03170579,0.059812736,-0.062403902,0.039911143,-0.06557088,0.016707618,-0.021107202,0.02756712,0.03703207,-0.027099272,0.023230517,0.037607886,0.024364153,-0.0101217395,0.008560742,-0.0015846146,0.1077493,-0.03951527,-0.058373198,0.066146694,-0.0023819827,-0.031057997,0.0038575076,-0.024796013,-0.14568108,0.043977834,0.09688079,-0.034944747,0.0122990385,0.09695277,-0.03915539,0.025695724,0.040522948,0.037751842,-0.09493742,0.032029685,-0.09529731,0.00036719424,0.035430588,0.04365394,0.044913534,0.02666741,0.11264372,0.046892896,0.009010598,-0.055746045,-0.027423168,-0.057545464,0.07557566,0.0050833626,0.032947388,-0.018624002,-0.019127838,-0.030086309,-0.027980987,0.011885172,0.06380745,-0.032389566,0.029546484,0.0019355016,-0.009231027,0.05110354,-0.015520001,-0.053478774,-0.004961902,-0.034117013,-0.050815634,-0.009572917,0.0033739132,-0.08709195,-0.008844151,-0.029420525,-0.0049439077,-0.02875474,-0.039695214,-0.029006658,0.0013799305,0.011750216,0.04476958,-0.014368372,0.00063654495,-0.07456798,-0.019829614,0.0027171248,0.025011944,-0.00903309,-0.036744166,0.028592791,0.010571595,0.045849234,-0.07903054,0.0145932995,0.02781904,-0.050527725,-0.010427642,0.01806618,-0.026811365,0.0245261,-0.054558426,-0.012065114,0.09047486,-0.026217556,-0.023014586,-0.020387433,-0.0050428757,0.03821969,0.060964365,0.0391194,-0.014197427,0.031075992,-0.04768464,0.03247954,0.07136501,0.05768942,0.019145833,-0.018857926,-0.096233,0.044517662,0.0003452638,0.06391542,-0.041278705,-0.022240836,0.08183764,-0.04386987,-0.050383773,0.00444007,0.048548363,-0.07694322,0.0013326957,0.06193605,0.025065927,-0.08824358,-0.028430844,0.052507088,0.074208096,-0.018641995,-0.0025304349,0.028880699,0.09695277,-0.016230773,-0.11228383,-0.08982707,-0.04437371,0.0070177396,-0.0220429,-0.04815249,-0.01844406,-0.019379757,0.01968566,-0.015160117,0.072012804,0.07377624,0.11091627,-0.04120673,0.006073044,-0.045957197,-0.038579576,-0.058697093,-0.0014609045,0.0031489858,-0.06819803,0.06567884,0.077950895,0.087811716,-0.024849996,-0.06603873,0.037248004,-0.04365394,-0.06783815,0.0005454493,-0.027837034,0.041026786,0.090258926,0.026631422,-0.0009739363,-0.06877385,0.082197525,-0.051427435,-0.095801145,0.056897674,-0.013306714,0.0841409,0.0499879,-0.003232209,-0.006082041,0.03296538,-0.03607838,-0.022654703,-0.07737508,-0.027027294,-0.02601962,-0.09428963,0.014692267,0.053730693,0.047324758,-0.03872353,-0.025011944,-0.019919584,0.019361764,-0.072984494,-0.098968126,-0.048188478,-0.0010363538,-0.017652314,0.00596058,0.015942864,0.0021784233,-0.04289818,0.011399329,-0.07888659,-0.013981497,-0.0039632237,-0.021611039,-0.00055079133,0.02850282,0.12272047,-0.02092726,-0.08270136,0.022492755,0.05427052,0.09731266,-0.034045033,0.011444314,-0.00092164066,-0.07122106,0.029474506,-0.029672442,0.05200325,-0.0022683945,0.040846843,-0.10422243,-0.05628587,0.067442276,-0.023482436,0.031867735,0.030374218,-0.0011454435,0.0056141918,-0.054666393,0.012766888]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"*   [Hybird AI Search 1 - How to build Fast Embedding Service](https://www.memfree.me/blog/fast-local-embedding-service)\n*   [Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB](https://www.memfree.me/blog/serverless-vector-search-lancedb)\n*   [Hybrid AI Search 3 - The Full Tech Stack](https://www.memfree.me/blog/hybrid-ai-search-tech-stack)","vector":[0.0077818776,0.023808,-0.04843102,-0.009560817,0.03482645,-0.0057835104,0.049026612,0.09911902,-0.056988735,0.054104816,0.06225502,0.028086858,0.02448196,-0.02529698,-0.014012082,0.06432392,-0.03667592,-0.03136261,-0.02402743,-0.070029065,-0.073916085,-0.041910857,-0.07379069,-0.03266351,0.060280163,-0.01992098,-0.014403919,0.029199675,-0.050844736,0.019889632,0.07122025,-0.028447347,0.0034481634,-0.008416654,-0.011120327,-0.04689502,0.08595331,0.04548441,-0.015767511,0.014490123,0.049152,0.020579265,-0.08582792,-0.013048164,-0.0012489796,-0.009027919,0.005148735,-0.035045877,0.014748735,-0.106830366,0.055578124,-0.065640494,0.07611037,-0.040813714,-0.044732083,-0.048995268,0.083759025,0.03410547,0.074480325,-0.016754938,0.0017221224,-0.020203102,-0.036205716,-0.035704166,-0.009451102,0.08231706,0.013330286,0.09147037,-0.052568816,0.029685551,-0.048117552,0.05633045,0.022036899,-0.002358857,0.011614041,-0.038494043,0.0078798365,0.023087021,0.014552817,0.018729797,0.11585829,-0.055578124,0.040437553,-0.003477551,0.1394312,0.0023902042,-0.02647249,-0.15585698,-0.02647249,0.016613878,-0.10883658,-0.044073798,0.044293225,-0.033635266,0.008651755,0.02349453,-0.030923756,0.0048235105,-0.041127186,0.04749061,0.035798203,-0.023196734,0.00496849,-0.047396574,0.03564147,0.02724049,0.024105797,0.07228604,-0.01456849,0.06770939,0.012045061,-0.028478695,-0.028086858,-0.013588898,-0.029011592,0.026221715,-0.006821878,-0.15523005,0.03974792,-0.09184653,0.040939104,-0.007433143,0.020579265,-0.049120653,-0.058524735,0.05579755,-0.027491266,-0.05570351,0.05727086,-0.018917877,0.008400979,0.012460409,0.002529306,0.039309062,0.087144494,0.03934041,0.051659755,0.05532735,0.072160654,-0.0062419595,-0.055170614,-0.07435494,-0.07968392,-0.03645649,-0.05172245,0.045641143,-0.05212996,-0.0033952654,-0.019811265,-0.021378612,-0.12914939,-0.0061596734,0.08419788,0.022444408,0.024387918,-0.055296,-0.03035951,-0.036393795,-0.0015399184,0.101877555,0.06432392,-0.09147037,0.0015222857,0.09429159,0.032506775,0.029246695,-0.0037577143,-0.04905796,-0.071094856,0.0563618,0.07422955,0.08344555,0.021472653,0.021786124,-0.088147596,-0.021112164,0.07228604,-0.046236735,-0.015853714,0.017836409,0.0053368164,0.04755331,0.03021845,0.029826613,-0.006402612,-0.01596343,0.10181486,0.03874482,0.072599515,-0.06338351,0.022444408,-0.047271185,0.065640494,-0.041221224,0.0076094694,-0.08958955,0.05194188,0.023996081,-0.011441633,-0.00013763265,-0.009748898,-0.077301554,-0.008761469,0.06300735,0.04955951,-0.0017436735,0.018055838,-0.028525716,-0.027099429,-0.036989387,-0.03194253,-0.0028760817,-0.07918237,-0.11654792,0.01761698,0.0064692246,-0.049841635,0.02868245,-0.07360262,0.015759673,-0.029701225,-0.041127186,0.04250645,-0.0064692246,-0.04905796,-0.08313208,-0.009114123,-0.0665182,0.06501355,0.0012754286,0.053822696,0.020109061,0.004831347,0.011167347,-0.005387755,-0.053540573,0.063979104,-0.120058775,-0.048211593,0.06369698,-0.035171267,0.027381552,-0.032694858,-0.02222498,-0.017413225,-0.04955951,-0.03520261,-0.02136294,-0.018996246,-0.005462204,0.02131592,0.01596343,0.03256947,-0.012045061,-0.016613878,0.04742792,0.03175445,0.020924082,-0.029215347,-0.04557845,-0.022977307,-0.035045877,-0.03460702,0.06601665,-0.04466939,-0.050562613,0.052380737,0.0030857143,-0.032694858,0.072160654,0.050813388,-0.034889143,0.012421225,0.10739461,0.025453715,-0.06062498,-0.008800653,-0.013095184,0.04169143,-0.044606693,0.0028976328,0.02100245,0.06476278,0.05817992,-0.10074906,-0.06582857,-0.033008326,-0.055484083,-0.0128130615,-0.046957716,-0.015148409,0.0060421224,-0.029920654,0.022193633,0.038462695,0.0014331429,0.09479315,0.008455837,0.022554124,-0.046644244,-0.05448098,0.028854858,-0.015563755,0.0030837553,-0.07128294,0.041127186,0.014278531,0.05153437,-0.021143511,-0.0075115105,0.036581878,-0.010336653,-0.005078204,-0.05733355,0.059057634,0.095169306,0.078618124,0.058869552,0.009748898,-0.07190988,0.024967838,-0.059966695,-0.21554156,0.089965716,0.01838498,-0.025375348,0.110592,0.022177959,0.03093943,0.03338449,-0.031049144,-0.10325682,-0.04905796,0.018510368,-0.06921404,-0.08513829,-0.053509224,0.06122057,0.025391022,-0.054857142,-0.046048652,-0.025735836,-0.0015693061,-0.013126531,0.022381715,-0.0146860415,-0.02140996,0.045233633,0.048086204,-0.057020083,0.0018269388,-0.024607347,0.0456098,-0.06727053,-0.013706449,-0.08281861,-0.018604409,0.028604083,-0.0716591,0.14381976,0.009458939,-0.06902596,-0.008495021,0.09504392,0.031519346,-0.026832981,0.04959086,-0.026550857,0.022554124,0.039183673,0.0060734693,0.04360359,-0.07128294,-0.018776817,-0.09943249,-0.05153437,0.09679935,-0.050437227,0.016112328,0.05849339,0.051785145,-0.030735673,-0.012389878,0.012899266]}
{"create_time":1723175233409,"title":"Hybrid AI Search 2 - How to build Serverless Vector Search with LanceDB","url":"https://www.memfree.me/blog/serverless-vector-search-lancedb","image":"","text":"*   [Hybrid AI Search 4 - Get tweet content fast and free](https://www.memfree.me/blog/tweet-content-fast-free)","vector":[-0.019825254,0.044916317,-0.02624187,-0.007401777,0.04568352,-0.021882756,0.02540492,0.07846407,-0.04721793,0.07316338,0.07727838,-0.015457421,0.05314633,-0.079301015,-0.052518614,0.045613777,-0.042475216,-0.020418094,0.05757519,-0.11180258,-0.0648985,0.023173055,-0.039615635,-0.10141045,0.03570987,-0.03293747,-0.0021130808,0.0146814985,-0.019371906,0.037348896,0.07999847,0.013574284,0.059562944,-0.044916317,0.018221099,0.012597842,0.033495437,0.046764582,0.016468735,-0.012693742,0.10078274,-0.0017817882,-0.059353705,-0.052553486,-0.0061725066,0.023329983,0.042963434,-0.07434906,0.05080984,-0.034559064,0.14276972,0.043033183,-0.0015562039,-0.019511398,-0.031054333,0.00025024044,0.10022476,-0.09290145,0.072744906,-0.08174212,0.008971058,-0.009084395,0.07483728,0.0038120458,-0.10168943,-0.08557814,-0.0054837666,0.05440175,0.011438318,0.063259475,-0.03909254,0.09401739,0.023120744,0.03633758,0.028735284,-0.04993802,0.0010064106,0.018447774,0.0026438031,0.08167238,0.0038273027,0.018116482,-0.017392868,0.02240585,0.114801645,-0.024201805,-0.03609347,-0.18343155,-0.03077535,0.014542007,-0.14800066,0.038569447,0.05928396,-0.012911698,0.026555726,-0.016930802,-0.019982181,0.0046075843,-0.082369834,0.052413996,0.07755737,-0.05314633,0.0062160976,-0.034245204,0.048089754,-0.02013911,-0.013260427,0.016808746,0.057923917,0.05879574,-0.0431378,-0.021394536,-0.056529,-0.047113314,0.039894618,0.0065561086,-0.03295491,-0.070722274,-0.008186418,-0.057644933,-0.0060984017,-0.03255387,-0.005461971,0.03930178,0.034559064,0.03633758,0.007066125,-0.011290107,0.03595398,-0.072605416,-0.01398404,0.02146428,-0.063364096,0.03860432,0.08209085,0.0056145396,-0.0051393965,0.04087106,0.07511627,0.008378219,-0.0769994,-0.084043734,-0.025875704,0.0029140683,-0.07462805,0.045369666,-0.03333851,0.025282865,-0.0062945616,0.055517685,-0.039894618,-0.022998689,0.03274567,-0.04062695,0.010531621,-0.0019060229,-0.05091446,0.018552393,-0.028386556,0.07190796,0.03588423,-0.027689097,0.012981444,0.026852148,0.027166003,-0.0166431,-0.023731021,-0.038429957,-0.0062509705,0.089414164,0.06943198,0.026381362,0.027758842,0.048438482,-0.026520854,-0.009145423,0.020854006,-0.09150654,-0.051332936,0.017541077,-0.052413996,0.02753217,0.01792468,0.013792239,-0.012571687,0.07560448,0.06632829,0.05053086,0.05785417,-0.064933375,-0.073651604,-0.042231105,0.041882373,-0.0032976703,0.05736595,-0.066467784,-0.0006282574,-0.016355399,-0.05998142,-0.06733961,0.079301015,-0.090041876,-0.045334794,0.031333316,-0.0006091863,0.017811343,0.01009571,0.02505619,-0.07061766,-0.0027397037,-0.0017240299,-0.07190796,-0.010278793,-0.11584783,-0.009380815,0.02561416,-0.006952788,-0.033216454,-0.034402132,0.03018251,-0.060504515,-0.03801148,-0.015588194,-0.0127111785,-0.03210052,-0.07358186,-0.0072710034,-0.07511627,0.053355563,0.011882947,-0.04289369,-0.11117487,0.0215689,0.07246593,-0.09073933,-0.041498773,0.047845643,0.0038730735,-0.049449798,0.039964363,-0.03703504,0.08760077,-0.047601532,0.0026655986,-0.0038490985,-0.03672118,-0.034070842,-0.11766122,-0.05401815,0.04550916,-0.028386556,-0.03776737,0.08334628,0.11626631,0.07239618,0.0829278,0.035186775,-0.012057312,-0.015989233,-0.007445368,0.009677235,0.006713037,0.0010527262,0.07588347,-0.053739168,-0.011760891,0.12045106,-0.047113314,-0.0029554798,0.03679093,0.069013506,0.016521044,0.07720864,0.035779614,0.02383564,-0.07951026,-0.052658107,0.00389051,0.012990162,-0.043870132,0.002225328,0.075325504,0.09276196,0.059109595,-0.11117487,-0.06796732,-0.025300302,-0.06782783,0.049868274,-0.057923917,-0.03471599,0.0072622853,-0.03220514,0.03836021,-0.025666468,0.039371524,0.0829278,0.0658052,0.03544832,-0.006486363,-0.0217607,0.016468735,-0.024986446,0.0134871015,-0.0042871893,0.0077287103,0.050217003,0.037593007,0.0332862,-0.04718306,0.049624164,-0.0044397586,-0.040208474,-0.016477454,0.017201066,0.041917246,0.026904456,-0.020993497,0.008347705,-0.04826412,0.027235748,-0.052797597,-0.112639524,0.0862756,-0.053111453,0.068804264,0.066467784,0.042265978,0.13809675,0.01156909,-0.08781001,-0.06486363,0.013530692,0.0151958745,0.007096639,-0.08920492,-0.03077535,0.026520854,0.06385231,-0.026102379,-0.03185641,-0.022004811,0.0578193,-0.06420104,0.045369666,-0.010392129,-0.007881279,-0.0014799194,0.02313818,-0.02367871,0.0021937245,-0.0217607,0.07951026,-0.045788143,0.01290298,-0.012362449,-0.034977537,-0.0075674234,-0.019616017,0.10566494,0.03511703,-0.1113841,0.05328582,-0.002983814,-0.006373026,-0.0531812,0.0069658654,-0.03717453,-0.0280727,0.034262642,0.051681664,-0.0023473834,-0.09255272,0.060678877,-0.106083415,0.025317738,0.03930178,-0.021743264,-0.013434792,0.058865488,0.05966756,-0.027985517,0.001546396,0.011630118]}