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.
Quickly set up a flexible AI framework that connects various databases and models with minimal configuration.
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Free · no card · unsubscribe anytimeProduction-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.
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 is an open-source project. It is released under the MIT license.
Yes. OneRAG is free and open source — you can use, modify and self-host it.
OneRAG is available under the MIT license.
OneRAG is written mainly in Python.
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