redis-applied-ai/aws-redis-bedrock-stack
Reference architecture, guides, and examples using Amazon Bedrock and Redis as a knowledge base for RAG.
This project provides a comprehensive guide and example for developers building applications that use Large Language Models (LLMs) to answer questions based on specific documents. It outlines how to set up Amazon Bedrock to ingest raw documents, create searchable representations, and store them in Redis as a knowledge base. Developers can use this to integrate detailed, relevant information into their LLM agents, enhancing accuracy and reducing operational costs.
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Use this if you are a developer looking for a robust, scalable architecture to integrate private or proprietary data sources with Amazon Bedrock's LLMs using Redis as a vector database and cache.
Not ideal if you are an end-user without development experience or if your application does not require a custom knowledge base for your LLM interactions.
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Oct 21, 2023
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