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Renamed, added badge (#17331)
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seldo authored Dec 19, 2024
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"source": [
"# Document Research Assistant for Blog Creation\n",
"\n",
"[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/launchable/deploy?launchableID=env-2qRrBuBdUGzzauhql87XCd7U1wR)\n",
"\n",
"In this notebook, you will use NVIDIA NIM Microservices for the LLM, llama-3.3-70b, to generate a report on a given topic. You will also use a NIM for an NVIDIA text embedding model, nv-embedqa-e5-v5. Given a set of documents, LlamaIndex will create an Index which it can run queries against. \n",
"\n",
"You can get started by leveraging NVIDIA API Catalog and call a hosted model's NIM API Endpoint. Once you familiarize yourself with this blueprint, you may want to self-host models with NIM Microservices.\n",
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"5. Performs Quality Assurance: A critic agent reviews the content for accuracy, coherence, and completeness, determining if revisions are necessary.\n",
"6. Iterative Refinement: If improvements are needed, the workflow repeats by generating additional questions and gathering more information until the desired quality is reached.\n",
"\n",
"This workflow combines modularity, automation, and iterative refinement to ensure the output meets the highest standards of quality."
"This workflow combines modularity, automation, and iterative refinement to ensure the output meets the highest standards of quality. "
]
},
{
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