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RAGFreeOpen Source
RAGATOUILLE
Easy-to-use late-interaction retrieval for any RAG pipeline
Apache-2.0
ABOUT
Dense embedding retrieval is a good baseline for RAG, but research shows it often underperforms on complex or domain-specific queries. RAGatouille solves this by making advanced late-interaction models like ColBERT accessible to practitioners. ColBERT generalizes better to new domains, is more data-efficient, and handles non-English languages with less training data, yet it has been historically difficult to integrate. RAGatouille removes this friction with a simple pip-installable package that slots into existing LangChain, LlamaIndex, or custom RAG pipelines.
INSTALL
pip install ragatouilleINTEGRATION GUIDE
1. Replacing dense embedding retrieval with ColBERT for improved document relevance
2. Fine-tuning retrieval models on low-resource languages or specialized domains
3. Plugging advanced retrieval into LangChain or LlamaIndex RAG pipelines with minimal code changes
TAGS
pythonretrievalcolbertembeddingsopen-source