rag-with-amazon-bedrock-and-pgvector by aws-samples

Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch. Maintained by aws-samples on GitHub, where it has earned 59 stars from the community.

This GitHub repository guides you through building an advanced Conversational AI assistant using AWS services and Anthropic's Claude V2 model. It features intelligent routing to relevant functions, database querying, semantic searches, Lambda function executions, and specialized interactions. Maintained by aws-samples on GitHub, where it has earned 30 stars from the community.

This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation. Maintained by aws-samples on GitHub, where it has earned 46 stars from the community.