README.md

langchain-python

Langchain examples in Python using AWS Bedrock LLM

Basic Examples

1. [langchain](demo_bedrock_langchain.py)
2. [langchain_chat](demo_bedrock_langchain_chat.py)

Document Retrievers

Vector Store

1. [vector_store](demo_bedrock_langchain_vector_store.py)

Document Transformation

LLM Chains

1. [langchain_chain](demo_bedrock_langchain_chain.py)

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Freeze

pip freeze > requirements.txt

Python Package Installation

pip install --upgrade

pip install --upgrade langchain

Pydantic

pip list | grep langchain pip list | grep pydantic

Document Loader / Retriever

pip install pypdf pip install wikipedia pip install tiktoken

Vector DB

pip install chromadb

Agents - SerpApi

pip install google-search-results

OpenSearch

pip install opensearch-py pip install boto3 pip install botocore pip install requests-aws4auth

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Links

• botocore.client.OpenSearchServiceServerless

• https://github.com/langchain-ai/langchain

• https://github.com/aws-samples/aws-genai-llm-chatbot

• https://docs.aws.amazon.com/opensearch-service/latest/developerguide/serverless-vector-search.html

• https://catalog.us-east-1.prod.workshops.aws/workshops/f8d2c175-634d-4c5d-94cb-d83bbc656c6a/en-US/41-vector

• https://github.com/opensearch-project/opensearch-py/blob/main/samples/knn/knn-basics.py

• https://docs.aws.amazon.com/opensearch-service/latest/developerguide/knn.html

Errors

• opensearchpy.exceptions.AuthorizationException: AuthorizationException(403, 'Forbidden')

Blogs

• https://aws.amazon.com/blogs/big-data/amazon-opensearch-services-vector-database-capabilities-explained/

Repost

• https://repost.aws/zh-Hant/questions/QUxXol2_SQRb-7iYoouyjl8A/questions/QUxXol2_SQRb-7iYoouyjl8A/aws-opensearch-serverless-bulk-api-document-id-is-not-supported-in-create-index-operation-request?