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RAG-Retrieval
Python

RAG-Retrieval

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

by NovaSearch-Team · GitHub
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aillmnlpMITPython
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Train and use models for retrieving information efficiently with a unified codebase.

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1 1261 125
2026-07-202026-08-31
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📄 About

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

RAG-Retrieval has 1.1k stars on GitHub. It has been forked 88 times. RAG-Retrieval is written mainly in Python. It has been in active development since 2024. RAG-Retrieval is available under the MIT license. Its main topics are ai, llm, nlp, rag.

Frequently asked questions

What is RAG-Retrieval?

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

Is RAG-Retrieval open source?

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

Is RAG-Retrieval free?

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

What license does RAG-Retrieval use?

RAG-Retrieval is available under the MIT license.

What language is RAG-Retrieval written in?

RAG-Retrieval is written mainly in Python.

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