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notadev-iamaura / 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.

Why this job: says: rag; topics: rag, retrieval-augmented-generation, vector-database, graphrag, hybrid-search, reranker

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 5 days ago
Stars
125
On GitHub
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
v1.0.7
Released 8 months ago
Built with
Python
80% of the code

Is it looked after?

Contributors
3
Last 90 days
Issues
None
No issues filed
Pull requests
133 merged
21 waiting
Releases
1
1 in the last year

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More: languages, topics and project record

Languages

  • Python 80%
  • TypeScript 18%
  • Shell <1%
  • Jupyter Notebook <1%

Topics

  • chatbot
  • chromadb
  • fastapi
  • graphrag
  • hybrid-search
  • korean-nlp
  • langchain-alternative
  • llm
  • ollama
  • openai-compatible
  • pinecone
  • production-ready

Project record

  • JobRAG and search
  • StatusListed
  • Commits516
  • Forks41
  • Watching2
  • Stars in 28 days0
  • CreatedJan 2, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

Type to search.

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