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AI & ML
advanced-rag-router-with-amazon-bedrock by aws-samples
How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock. Maintained by aws-samples on GitHub, where it has earned 22 stars from the community.
aws-samples
Maintainer
22 stars
Install
pip install advanced-rag-router-with-amazon-bedrockMore LangChain projects
AI & ML
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models. Maintained by aws-samples on GitHub, where it has earned 1,484 stars from the community.
A
2mo agoAI & ML
A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store. Maintained by aws-samples on GitHub, where it has earned 21 stars from the community.
A
2y agoAI & ML
RAG - Add Your Own Data to LLMs Using LangChain & LlamaIndex. Maintained by zekaouinoureddine on GitHub, where it has earned 32 stars from the community.
Z
2y ago