7 AI Open Source Libraries To Build RAG, Agents & AI Search

1. graphrag-accelerator

   1 4 2,286 8.2 Python

   One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

   

   🌟 Graph RAG on GitHub

2. Judoscale

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   Save 47% on cloud hosting with autoscaling that just works. Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.

   

3. cognita

   2 6 3,999 9.4 Python

   RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

   

   ⭐️ Cognita on GitHub

4. llmware

   3 19 13,357 9.5 Python

   Unified framework for building enterprise RAG pipelines with small, specialized models

   

   ⭐️ LLMWare on GitHub

5. ragflow

   4 14 48,843 10.0 TypeScript

   RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

   

   ⭐️ RAG Flow on GitHub

6. haystack

   5 63 20,338 9.8 Python

   AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

   

   🌟 Haystack on GitHub

7. CodeRabbit

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   CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

   

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