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apache/beam/refs/heads/stacktrace-precommit-python/./examples/notebooks/beam-ml/rag_usecase/opensearch_rag_pipeline.ipynb
blob: f1104442672025ac72b82384023bc4469d281bcd [file]
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "aab0b3c8-f952-4db8-8026-74d4d0d18f2c",
"metadata": {},
"outputs": [],
"source": [
"# @title ###### Licensed to the Apache Software Foundation (ASF), Version 2.0 (the \"License\")\n",
"\n",
"# Licensed to the Apache Software Foundation (ASF) under one\n",
"# or more contributor license agreements. See the NOTICE file\n",
"# distributed with this work for additional information\n",
"# regarding copyright ownership. The ASF licenses this file\n",
"# to you under the Apache License, Version 2.0 (the\n",
"# \"License\"); you may not use this file except in compliance\n",
"# with the License. You may obtain a copy of the License at\n",
"#\n",
"# http://www.apache.org/licenses/LICENSE-2.0\n",
"#\n",
"# Unless required by applicable law or agreed to in writing,\n",
"# software distributed under the License is distributed on an\n",
"# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
"# KIND, either express or implied. See the License for the\n",
"# specific language governing permissions and limitations\n",
"# under the License"
]
},
{
"cell_type": "markdown",
"id": "d97c2e7e-3fcb-4f76-8bb2-5fb3cb8f98b2",
"metadata": {},
"source": [
"# RAG Demo on Opensearch \n",
"This notebook provides an example of using opensearch vector Database as a knowledge Base for building RAG based AI Application. This notebook provides a custom IO python client for Ingestion and Enrichment pipeline using opensearch vector DB which can be used for building RAG applications. Please follow step by step instructions to be able to write custom IO class for python client for opensearch vector database."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a5097361-e9ca-4217-8b41-55b11178fabf",
"metadata": {},
"outputs": [],
"source": [
"#installing dependencies\n",
"!pip install pandas==1.4.4\n",
"!pip install numpy==1.24.4\n",
"!pip install apache_beam[interactive]==2.56.0\n",
"!pip install opensearch==2.1.0\n",
"#used for chunking\n",
"!pip install langchain==0.1.14 "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "697ad0fa-7625-4a27-b1b7-72eda94748a2",
"metadata": {},
"outputs": [],
"source": [
"import apache_beam as beam\n",
"import pandas as pd\n",
"from apache_beam.ml.transforms.base import MLTransform\n",
"from apache_beam.transforms.enrichment import Enrichment\n",
"from apache_beam.ml.transforms.embeddings.huggingface import SentenceTransformerEmbeddings\n",
"import tempfile\n",
"import json\n",
"\n",
"from opensearchpy import OpenSearch"
]
},
{
"cell_type": "markdown",
"id": "1bc50a4f-9738-4b35-a9ff-af5b76fca0f3",
"metadata": {},
"source": [
"Below imports are the python files which are present in the same folder as the notebook. These imports are not part of any beam module."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "df5e71bd-2be8-4477-b06a-028a4ff4a5c2",
"metadata": {},
"outputs": [],
"source": [
"from opensearch_connector import *\n",
"from opensearch_enrichment import *\n",
"from chunks_generation import *"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "3d274890-4e6b-4a3d-b682-9fc6e21e5cca",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2.56.0'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"#To check beam version installed \n",
"beam.__version__"
]
},
{
"cell_type": "markdown",
"id": "791708ac-1bae-47a2-9c28-ada31d8846b9",
"metadata": {},
"source": [
"Usually users should have their credentials file setup but for completeness here we generate the file to be later consumed through right channels."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c2a4451f-7c23-42e5-8874-db8a21c8ee83",
"metadata": {},
"outputs": [],
"source": [
"cell_str='''OPENSEARCH_USERNAME=\"<REPLACE_WITH_YOUR_USERNAME>\"\n",
"OPENSEARCH_PASSWORD=\"<REPLACE_WITH_YOUR_PASSWORD>\"\n",
"'''\n",
"\n",
"with open('credentials.env', 'w') as f:\n",
" f.write(cell_str)"
]
},
{
"cell_type": "markdown",
"id": "84d2e424-2747-421b-8ab0-8416992536b6",
"metadata": {},
"source": [
"Next we load the Opensearch credentials that will be needed in access during following steps. It reads credentials from environment. Please replace the values in the file before running this."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fb1d1cab-da15-48f3-9353-33d8080efd1d",
"metadata": {},
"outputs": [],
"source": [
"from dotenv import load_dotenv\n",
"\n",
"load_dotenv('credentials.env')"
]
},
{
"cell_type": "markdown",
"id": "394e2ebf-9553-4464-b6a3-1386ef57f24b",
"metadata": {},
"source": [
"# Reading json data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "006fdc19-e16a-4142-9653-b0c0a7e63b8e",
"metadata": {},
"outputs": [],
"source": [
"with open('hf_small_wikipedia.json', 'r') as j:\n",
" contents = json.loads(j.read())"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "213fb96c-a641-4688-b083-96fd762608aa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"list"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"type(contents)"
]
},
{
"cell_type": "markdown",
"id": "bdc5047c-8539-4381-84fd-5660f9829a10",
"metadata": {},
"source": [
"# Creating a Search Index¶\n",
"### Specify and create a search index in OpenSearch vector DB. \n",
"\n",
"1. Set some constants for defining our index like the distance metric and the index name.\n",
"\n",
"2. Define the index schema with OpenSearchSearch fields.\n",
"\n",
"3. Create the index.\n",
"\n",
"4. Index creation is needed only once."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "c32bad0c-c976-46a7-b43c-3887fc964b51",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:PUT https://localhost:9200/embeddings-index [status:200 request:0.351s]\n"
]
}
],
"source": [
"http_auth = [os.environ['OPENSEARCH_USERNAME'], os.environ['OPENSEARCH_PASSWORD']]\n",
"client = OpenSearch(hosts = ['https://localhost:9200'],\n",
" http_auth = http_auth,\n",
" verify_certs = False\n",
" )\n",
"\n",
"index_name = 'embeddings-index'\n",
"\n",
"index_body = {\n",
" \"settings\": {\n",
" \"index.knn\": True\n",
" },\n",
" \"mappings\": {\n",
" \"properties\": {\n",
" \"title_vector\": {\n",
" \"type\": \"knn_vector\",\n",
" \"dimension\": 384,\n",
" \"method\": {\n",
" \"engine\": \"faiss\",\n",
" \"name\": \"hnsw\"\n",
" }\n",
" },\n",
" \"text_vector\": {\n",
" \"type\": \"knn_vector\",\n",
" \"dimension\": 384,\n",
" \"method\": {\n",
" \"engine\": \"faiss\",\n",
" \"name\": \"hnsw\"\n",
" }\n",
" },\n",
" \"id\": {\n",
" \"type\": \"long\"\n",
" },\n",
" \"url\": {\n",
" \"type\": \"text\"\n",
" },\n",
" \"title\": {\n",
" \"type\": \"text\"\n",
" },\n",
" \"text\": {\n",
" \"type\": \"text\"\n",
" },\n",
" \"section_id\": {\n",
" \"type\": \"long\"\n",
" }\n",
" }\n",
"}}\n",
"\n",
"response = client.indices.create(index_name, body=index_body)\n",
"\n",
"# Command for deleting an index\n",
"# response = client.indices.delete(index = index_name)"
]
},
{
"cell_type": "markdown",
"id": "5ebc23b0-f3e6-484e-bf64-a07c97489ccf",
"metadata": {},
"source": [
"# Creating Knowledge Base in OpenSearch Vector Database¶\n",
"After creating a search index, we can load documents into it. We will use the same documents we used in the previous cell. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "e4a9d492-e826-4101-a21b-49b88933dce1",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:root:Missing pipeline option (runner). Executing pipeline using the default runner: DirectRunner.\n",
"WARNING:apache_beam.runners.interactive.interactive_environment:Dependencies required for Interactive Beam PCollection visualization are not available, please use: `pip install apache-beam[interactive]` to install necessary dependencies to enable all data visualization features.\n"
]
},
{
"data": {
"application/javascript": [
"\n",
" if (typeof window.interactive_beam_jquery == 'undefined') {\n",
" var jqueryScript = document.createElement('script');\n",
" jqueryScript.src = 'https://code.jquery.com/jquery-3.4.1.slim.min.js';\n",
" jqueryScript.type = 'text/javascript';\n",
" jqueryScript.onload = function() {\n",
" var datatableScript = document.createElement('script');\n",
" datatableScript.src = 'https://cdn.datatables.net/1.10.20/js/jquery.dataTables.min.js';\n",
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" datatableScript.onload = function() {\n",
" window.interactive_beam_jquery = jQuery.noConflict(true);\n",
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" \n",
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" } else {\n",
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" });\n",
" }"
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},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:root:This output type hint will be ignored and not used for type-checking purposes. Typically, output type hints for a PTransform are single (or nested) types wrapped by a PCollection, PDone, or None. Got: Union[Tuple[apache_beam.pvalue.PCollection[~MLTransformOutputT], apache_beam.pvalue.PCollection[apache_beam.pvalue.Row]], apache_beam.pvalue.PCollection[~MLTransformOutputT]] instead.\n",
"WARNING:root:This output type hint will be ignored and not used for type-checking purposes. Typically, output type hints for a PTransform are single (or nested) types wrapped by a PCollection, PDone, or None. Got: Union[Tuple[apache_beam.pvalue.PCollection[~MLTransformOutputT], apache_beam.pvalue.PCollection[apache_beam.pvalue.Row]], apache_beam.pvalue.PCollection[~MLTransformOutputT]] instead.\n",
"WARNING:root:This output type hint will be ignored and not used for type-checking purposes. Typically, output type hints for a PTransform are single (or nested) types wrapped by a PCollection, PDone, or None. Got: Union[Tuple[apache_beam.pvalue.PCollection[~MLTransformOutputT], apache_beam.pvalue.PCollection[apache_beam.pvalue.Row]], apache_beam.pvalue.PCollection[~MLTransformOutputT]] instead.\n",
"WARNING:root:This output type hint will be ignored and not used for type-checking purposes. Typically, output type hints for a PTransform are single (or nested) types wrapped by a PCollection, PDone, or None. Got: Union[Tuple[apache_beam.pvalue.PCollection[~MLTransformOutputT], apache_beam.pvalue.PCollection[apache_beam.pvalue.Row]], apache_beam.pvalue.PCollection[~MLTransformOutputT]] instead.\n",
"INFO:apache_beam.runners.worker.statecache:Creating state cache with size 104857600\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"2024-08-17 12:28:49.961311: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n"
]
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"text": [
"/usr/local/lib/python3.10/site-packages/opensearchpy/connection/http_urllib3.py:208: UserWarning: Connecting to https://localhost:9200 using SSL with verify_certs=False is insecure.\n",
" warnings.warn(\n",
"INFO:opensearch_connector:Adding Docs in DB: 10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:1.352s]\n"
]
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"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:0.057s]\n"
]
},
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"text": [
"INFO:opensearch_connector:Adding Docs in DB: 10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:0.066s]\n",
"INFO:opensearch_connector:Adding Docs in DB: 10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:0.057s]\n",
"INFO:opensearch_connector:Adding Docs in DB: 10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:0.070s]\n",
"INFO:opensearch_connector:Adding Docs in DB: 10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:0.086s]\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
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"metadata": {},
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"name": "stderr",
"output_type": "stream",
"text": [
"INFO:opensearch_connector:Adding Docs in DB: 10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:0.064s]\n",
"INFO:opensearch_connector:Adding Docs in DB: 10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:0.083s]\n"
]
},
{
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"metadata": {},
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"name": "stderr",
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"INFO:opensearch_connector:Adding Docs in DB: 9\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk?refresh=true [status:200 request:0.066s]\n"
]
},
{
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{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:root:BatchElements statistics: element_count=349 batch_count=27 next_batch_size=4 timings=[(1, 0.18766427040100098), (2, 0.5434770584106445), (1, 0.18743109703063965), (2, 0.28671717643737793), (1, 0.180436372756958), (2, 0.2946739196777344), (1, 0.23954296112060547), (2, 0.2287900447845459), (4, 0.6388511657714844), (6, 0.7156858444213867), (7, 0.8332958221435547), (13, 1.1533119678497314), (12, 1.2309019565582275), (14, 1.1411330699920654), (19, 1.4424619674682617), (19, 1.1780219078063965), (24, 1.7884211540222168), (19, 1.191762924194336), (26, 1.8830091953277588), (32, 2.3361740112304688), (29, 1.9658150672912598), (26, 1.5100517272949219), (26, 1.811798095703125), (32, 2.051542043685913), (26, 1.5136959552764893), (2, 0.44672513008117676)]\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.075s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.087s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.084s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.083s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.076s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.071s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.067s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.074s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.082s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.085s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.071s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.082s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.071s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.067s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.068s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.065s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.068s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.076s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.069s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.062s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.079s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.071s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.065s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.089s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.088s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.072s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.083s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.074s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.066s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.087s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.091s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.096s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.111s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=10\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.149s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n",
"INFO:opensearch_connector:Insert Embeddings in opensearch DB, count=9\n",
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/_bulk [status:200 request:0.155s]\n",
"INFO:opensearch_connector:Insert Embeddings done\n"
]
}
],
"source": [
"#Insertion Pipeline\n",
"import os\n",
"\n",
"artifact_location = tempfile.mkdtemp()\n",
"generate_embedding_fn = SentenceTransformerEmbeddings(model_name='all-MiniLM-L6-v2',\n",
" columns=['title','text'])\n",
"with beam.Pipeline() as p:\n",
" embeddings = (\n",
" p \n",
" | \"Read data\" >> beam.Create(contents)\n",
" | \"Generate text chunks\" >> ChunksGeneration(chunk_size = 500, chunk_overlap = 0, chunking_strategy = ChunkingStrategy.SPLIT_BY_TOKENS)\n",
" | \"Insert document in openSearch\" >> InsertDocInOpenSearch(host='https://localhost', username=os.environ['OPENSEARCH_USERNAME'], password=os.environ['OPENSEARCH_PASSWORD'], port=9200, batch_size = 10)\n",
" | \"Generate Embeddings\" >> MLTransform(write_artifact_location=artifact_location).with_transform(generate_embedding_fn) \n",
" | \"Insert Embedding in openSearch\" >> InsertEmbeddingInOpenSearch(host='https://localhost', username=os.environ['OPENSEARCH_USERNAME'], password=os.environ['OPENSEARCH_PASSWORD'], port=9200, batch_size = 10, embedded_columns=['title','text'])\n",
" )\n"
]
},
{
"cell_type": "markdown",
"id": "c75493ee-e17f-447d-aaac-0c4b0f20d977",
"metadata": {},
"source": [
"### Pipeline Steps:\n",
"Now that we have ingested the documents in OpenSearch, we will create a embeddings transform, which is used for storing the text and its embedding in openSearch vector db"
]
},
{
"cell_type": "markdown",
"id": "f546c5fe-44c7-4900-8e36-4dba3784fe2e",
"metadata": {},
"source": [
"# Running Search Queries/ Perform Enrichment"
]
},
{
"cell_type": "markdown",
"id": "bcb0d1e2-0f46-47d3-9e08-e3ac15a589ed",
"metadata": {},
"source": [
"### Pipeline Steps:\n",
"Create a search transform, which emits the document Id, vector score along with the matching text from knowledge base"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "021c77ad-9df7-438a-9fe1-3599fa8c02a2",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"INFO:root:Missing pipeline option (runner). Executing pipeline using the default runner: DirectRunner.\n",
"WARNING:root:This output type hint will be ignored and not used for type-checking purposes. Typically, output type hints for a PTransform are single (or nested) types wrapped by a PCollection, PDone, or None. Got: Union[Tuple[apache_beam.pvalue.PCollection[~MLTransformOutputT], apache_beam.pvalue.PCollection[apache_beam.pvalue.Row]], apache_beam.pvalue.PCollection[~MLTransformOutputT]] instead.\n",
"WARNING:root:This output type hint will be ignored and not used for type-checking purposes. Typically, output type hints for a PTransform are single (or nested) types wrapped by a PCollection, PDone, or None. Got: Union[Tuple[apache_beam.pvalue.PCollection[~MLTransformOutputT], apache_beam.pvalue.PCollection[apache_beam.pvalue.Row]], apache_beam.pvalue.PCollection[~MLTransformOutputT]] instead.\n",
"WARNING:root:This output type hint will be ignored and not used for type-checking purposes. Typically, output type hints for a PTransform are single (or nested) types wrapped by a PCollection, PDone, or None. Got: Union[Tuple[apache_beam.pvalue.PCollection[~MLTransformOutputT], apache_beam.pvalue.PCollection[apache_beam.pvalue.Row]], apache_beam.pvalue.PCollection[~MLTransformOutputT]] instead.\n",
"WARNING:root:This output type hint will be ignored and not used for type-checking purposes. Typically, output type hints for a PTransform are single (or nested) types wrapped by a PCollection, PDone, or None. Got: Union[Tuple[apache_beam.pvalue.PCollection[~MLTransformOutputT], apache_beam.pvalue.PCollection[apache_beam.pvalue.Row]], apache_beam.pvalue.PCollection[~MLTransformOutputT]] instead.\n",
"INFO:apache_beam.runners.worker.statecache:Creating state cache with size 104857600\n",
"INFO:sentence_transformers.SentenceTransformer:Load pretrained SentenceTransformer: all-MiniLM-L6-v2\n",
"INFO:sentence_transformers.SentenceTransformer:Use pytorch device_name: mps\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "17eda44920fd403394c94fbc90598b6a",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Batches: 0%| | 0/1 [00:00<?, ?it/s]"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.10/site-packages/urllib3/connectionpool.py:1095: InsecureRequestWarning: Unverified HTTPS request is being made to host 'localhost'. Adding certificate verification is strongly advised. See: https://urllib3.readthedocs.io/en/latest/advanced-usage.html#tls-warnings\n",
" warnings.warn(\n",
"INFO:opensearch:POST https://localhost:9200/embeddings-index/_search [status:200 request:0.315s]\n",
"INFO:opensearch_enrichment:Enrichment_results\n",
"INFO:root:BatchElements statistics: element_count=1 batch_count=1 next_batch_size=1 timings=[]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Row(text=[...], docs={'took': 268, 'timed_out': False, '_shards': {'total': 1, 'successful': 1, 'skipped': 0, 'failed': 0}, 'hits': {'total': {'value': 1, 'relation': 'eq'}, 'max_score': 0.49309593, 'hits': [{'_index': 'embeddings-index', '_id': '39', '_score': 0.49309593, '_source': {'url': 'https://en.wikipedia.org/wiki/Albedo', 'title': 'Albedo', 'text': 'climate forcing climatology electromagnetic radiation meteorological quantities radiometry scattering, absorption and radiative transfer ( optics ) radiation 1760s neologisms', 'section_id': 21, 'text_vector': [...]}}]}})\n"
]
}
],
"source": [
"# Enchriment Pipeline\n",
"\n",
"data = [{'text':'What is climate ?'}]\n",
"\n",
"artifact_location = tempfile.mkdtemp()\n",
"generate_embedding_fn = SentenceTransformerEmbeddings(model_name='all-MiniLM-L6-v2',\n",
" columns=['text'])\n",
"\n",
"opensearch_handler = OpenSearchEnrichmentHandler(opensearch_host='https://localhost', \n",
" opensearch_port=9200, \n",
" username=os.environ['OPENSEARCH_USERNAME'], \n",
" password=os.environ['OPENSEARCH_PASSWORD'])\n",
" \n",
"\n",
"with beam.Pipeline() as p:\n",
" _ = (\n",
" p\n",
" | \"Create\" >> beam.Create(data)\n",
" | \"Generate Embedding\" >> MLTransform(write_artifact_location=artifact_location).with_transform(generate_embedding_fn)\n",
" | \"Enrich W/ OpenSearch\" >> Enrichment(opensearch_handler)\n",
" | \"Print\" >> beam.Map(print)\n",
" )"
]
},
{
"cell_type": "markdown",
"id": "f92d730b-2c34-4c3e-a8a5-5b37a19eb3c4",
"metadata": {},
"source": [
"# Conclusion\n",
"Here we have demonstrated how we can implement Ingestion and Enrichment pipeline using OpenSearch vector DB by using ML Transfrom's SentenceTransformerEmbeddings for generating the embeddings of the text chunks."
]
}
],
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