12_bedrock/34_multimodal_titan_embedding.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "73bf5c46-111a-4d45-8bc2-cbd79fa45108",
   "metadata": {},
   "source": [
    "# Create Embeddings with Amazon Titan Multimodal Embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e221d977-12e3-4581-bff2-c2dae867f2a5",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "import boto3\n",
    "import json\n",
    "import base64"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9079996a-ed7c-42a3-9739-c157629919cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "bedrock = boto3.client(service_name=\"bedrock\")\n",
    "bedrock_runtime = boto3.client(service_name=\"bedrock-runtime\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e631c72-bb54-40e5-9085-3387c82d1990",
   "metadata": {
    "tags": []
   },
   "source": [
    "## List Bedrock Models by Provider"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3c864d13-a647-4aa9-8297-3fcccd72750b",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [],
   "source": [
    "response = bedrock.list_foundation_models(\n",
    "    byProvider=\"amazon\",\n",
    "    byOutputModality=\"EMBEDDING\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "252b18e8-bc11-4c31-8e05-11f48cefea4e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-----\n",
      "modelArn: arn:aws:bedrock:us-east-1::foundation-model/amazon.titan-embed-g1-text-02\n",
      "modelId: amazon.titan-embed-g1-text-02\n",
      "modelName: Titan Text Embeddings v2\n",
      "customizationsSupported: \n",
      "-----\n",
      "modelArn: arn:aws:bedrock:us-east-1::foundation-model/amazon.titan-embed-text-v1\n",
      "modelId: amazon.titan-embed-text-v1\n",
      "modelName: Titan Embeddings G1 - Text\n",
      "customizationsSupported: \n",
      "-----\n",
      "modelArn: arn:aws:bedrock:us-east-1::foundation-model/amazon.titan-embed-image-v1\n",
      "modelId: amazon.titan-embed-image-v1\n",
      "modelName: Titan Multimodal Embeddings G1\n",
      "customizationsSupported: \n"
     ]
    }
   ],
   "source": [
    "for model in response[\"modelSummaries\"]:\n",
    "    print(\"-----\\n\" + \"modelArn: \" + model[\"modelArn\"] + \"\\nmodelId: \" + model[\"modelId\"] + \"\\nmodelName: \" + model[\"modelName\"] + \"\\ncustomizationsSupported: \" + ','.join(model[\"customizationsSupported\"]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3a506495-50f0-4063-8f23-5564225cffd4",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "model_id = 'amazon.titan-embed-image-v1'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3cfa8410-6adb-4b41-a8c5-f00d4c336cf1",
   "metadata": {},
   "source": [
    "## Create Embeddings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "76b3604d-17d3-46ef-a81b-6d725e38c558",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "image_path = \"images/iguana.png\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ab9de411-901d-4809-905c-1a3543916e56",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# MAX image size supported is 2048 * 2048 pixels\n",
    "with open(image_path, \"rb\") as image_file:\n",
    "    input_image = base64.b64encode(image_file.read()).decode('utf8')\n",
    "\n",
    "caption = \"\"\"\n",
    "Iguanas are some of the largest lizards found in the Americas, \n",
    "with their whiplike tail making up about half of that length. \n",
    "Like other reptiles, iguanas are cold-blooded, egg-laying \n",
    "animals with an excellent ability to adapt to their environment.\n",
    "\"\"\"\n",
    "    \n",
    "body = json.dumps(\n",
    "    {\n",
    "        \"inputText\": caption,\n",
    "        \"inputImage\": input_image\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4e380f9f-319a-4fcb-81aa-719109e7cf3f",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "accept = \"application/json\"\n",
    "contentType = \"application/json\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4158e0e9-1551-4e0c-a98d-306d9d4dae8a",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "response = bedrock_runtime.invoke_model(\n",
    "    body=body, modelId=model_id, accept=accept, contentType=contentType\n",
    ")\n",
    "response_body = json.loads(response.get(\"body\").read())\n",
    "\n",
    "print(response_body.get(\"embedding\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e853517-a110-4f39-970c-fd5033188240",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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