deepsense-ai/ragbits

Building blocks for rapid development of GenAI applications

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Provides modular Python packages for LLM integration (100+ models via LiteLLM), RAG pipelines with 20+ document formats, and multi-agent coordination using the A2A protocol and Model Context Protocol. Features type-safe prompt execution with Python generics, support for Qdrant/PgVector and other vector stores, Ray-based distributed document ingestion, and OpenTelemetry observability—installable as granular components (core, agents, document-search, evaluate, guardrails, chat, CLI) rather than monolithic framework.

1,627 stars and 1,872 monthly downloads. Actively maintained with 24 commits in the last 30 days. Available on PyPI.

Maintenance 23 / 25

Adoption 18 / 25

Maturity 25 / 25

Community 19 / 25

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Stars

1,627

Forks

136

Language

Python

License

MIT

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ragbits and ragflow ragbits and agentic-rag-for-dummies ragbits and cognita ragbits and context-aware-rag ragbits and deep-thinking-rag ragbits and ragapp ragbits and Awesome-RAG-Reasoning ragbits and Controllable-RAG-Agent ragbits and agentic-rag ragbits and oreilly-retrieval-augmented-gen-ai

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