itsayushpandey commented on code in PR #32018:
URL: https://github.com/apache/beam/pull/32018#discussion_r1724294216
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examples/notebooks/beam-ml/rag_usecase/opensearch_rag_pipeline.ipynb:
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@@ -0,0 +1,1779 @@
+{
+ "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": "code",
+ "execution_count": 2,
+ "id": "62a8c341-3092-48f7-a4b6-c586414d2c83",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Requirement already satisfied: pandas==1.4.4 in
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+ "Requirement already satisfied: async-timeout>=4.0.2 in
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+ "Requirement already satisfied: charset-normalizer<4,>=2 in
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+ "Requirement already satisfied: idna<4,>=2.5 in
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+ "Requirement already satisfied: urllib3<3,>=1.21.1 in
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+ "\u001b[31mERROR: Could not find a version that satisfies the
requirement opensearch==2.1.0 (from versions: 0.5, 0.6, 0.7, 0.8, 0.9, 0.9.1,
0.9.2)\u001b[0m\u001b[31m\n",
+ "\u001b[0m\u001b[31mERROR: No matching distribution found for
opensearch==2.1.0\u001b[0m\u001b[31m\n",
+ "\u001b[0mRequirement already satisfied: langchain==0.1.14 in
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+ "Requirement already satisfied: frozenlist>=1.1.1 in
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+ "Requirement already satisfied: typing-extensions>=4.2.0 in
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+ "Requirement already satisfied: idna<4,>=2.5 in
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+ "Requirement already satisfied: urllib3<3,>=1.21.1 in
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+ "Requirement already satisfied: certifi>=2017.4.17 in
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+ "Requirement already satisfied: greenlet!=0.4.17 in
/usr/local/lib/python3.10/site-packages (from
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+ "Requirement already satisfied: mypy-extensions>=0.3.0 in
/usr/local/lib/python3.10/site-packages (from
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(1.0.0)\n"
+ ]
+ }
+ ],
+ "source": [
+ "#installing dependencies\n",
+ "!pip install pandas==1.4.4\n",
+ "!pip install numpy==1.24.4\n",
+ "!pip install apache_beam==2.56.0\n",
+ "!pip install opensearch==2.1.0\n",
+ "!pip install langchain==0.1.14 #used for chunking"
+ ]
+ },
+ {
+ "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\n",
+ "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": "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": 2,
+ "id": "5948f80b-65fa-4416-b7be-803c56477b72",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "True"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "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",
+ "### Next few cells will show how to specify and create a search index in
OpenSearch vector DB. \n",
+ "\n",
+ "Set some constants for defining our index like the distance metric and
the index name.\n",
+ "\n",
+ "Define the index schema with OpenSearchSearch fields.\n",
+ "\n",
+ "Create the index.\n",
+ "\n",
+ "Index creation is neeeded only once."
Review Comment:
Reworded
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