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The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
Benchmarking rerankers in a RAG pipeline, evaluating accuracy (nDCG, Recall), latency, and LLM preferences.
A curated list of reranking models, libraries, and resources for building high-quality Retrieval-Augmented Generation (RAG) applications.
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