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OneRAG
Python

OneRAG

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

by notadev-iamaura · GitHub
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chatbotchromadbfastapiMITPythonSelf-hostable
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Quickly set up a flexible AI framework that connects various databases and models with minimal configuration.

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📈 Star history
124123
2026-07-202026-08-31
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📄 About

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

OneRAG has 124 stars on GitHub. It has been forked 40 times. OneRAG is written mainly in Python. It has been in active development since 2026. OneRAG is available under the MIT license. Its main topics are chatbot, chromadb, fastapi, graphrag.

Frequently asked questions

What is OneRAG?

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

Is OneRAG open source?

OneRAG is an open-source project. It is released under the MIT license.

Is OneRAG free?

Yes. OneRAG is free and open source — you can use, modify and self-host it.

What license does OneRAG use?

OneRAG is available under the MIT license.

What language is OneRAG written in?

OneRAG is written mainly in Python.

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