microsoft/generative-ai-for-beginners๐ฅ active
21 Lessons, Get Started Building with Generative AI
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
$ git clone https://github.com/NirDiamant/RAG_Techniques.git21 Lessons, Get Started Building with Generative AI
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
๐ก All-in-one AI framework for semantic search, LLM orchestration and language model workflows
AdalFlow: The library to build & auto-optimize LLM applications.
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration
Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.
Data from GitHub ยท snapshot Sep 24, 2026