
Rerankers: A Lightweight Python Library Unifying Ranking Methods for RAG Pipelines
Building a production-grade Retrieval-Augmented Generation (RAG) pipeline involves many decisions – which embedding model to use, which …
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Building a production-grade Retrieval-Augmented Generation (RAG) pipeline involves many decisions – which embedding model to use, which …

Retrieval-Augmented Generation (RAG) has become the standard approach for grounding LLM outputs in external knowledge. But standard RAG has a …