Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Retrieval-augmented generation, document Q&A, knowledge graphs and memory systems.
Signals: rag, retrieval-augmented-generation, llamaindex, knowledge-graph, question-answering, chat-with-documents, graphrag, memory
503 results
🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.
Interact with your SQL database, Natural Language to SQL using LLMs
AdalFlow: The library to build & auto-optimize LLM applications.
A collection of research on knowledge graphs
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
TrustRAG：The RAG Framework within Reliable input,Trusted output
List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.
[KDD'2026] "VideoRAG: Chat with Your Videos"
The open source platform for AI-native application development.
SoTA production-ready AI retrieval system. Agentic Retrieval-Augmented Generation (RAG) with a RESTful API.
Local-first AI-powered document intelligence platform for investigative journalism
Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on a React frontend.
Research project. A Memory solution for users, teams, and applications.
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
SentiBridge: A Knowledge Base for Entity-Sentiment Representation
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
Awesome-RAG: Collect typical RAG papers and systems.
KgCLUE: 大规模中文开源知识图谱问答
Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)
Chatbot assistant enabling GitHub repository interaction using LLMs with Retrieval Augmented Generation
A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。
Open-source tool to visualise your RAG 🔮
24,523 repositories in the index in total.
