NovaSearch-Team/RAG-Retrieval
RAG-Retrieval
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
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NovaSearch-Team
NovaSearch-Team • individual
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Mar 16, 2024
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This repository provides a unified framework for fine-tuning retrieval components in RAG (Retrieval-Augmented Generation) systems, specifically targeting embedding models, ColBERT dense retrievers, and reranking models. It enables researchers and practitioners to efficiently optimize the retrieval pipeline of their RAG applications through integrated fine-tuning approaches.
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Updated 9 months ago
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- Project created
- Mar 16, 2024
- Forked
- Mar 29, 2026
- Your last push
- 9 months ago
- Upstream last push
- 9 months ago
- Tracked since
- Jul 5, 2025
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