#BGE-M3

Most RAG problems are retrieval problems. Dense and sparse result lists crossing into one fused list: one model, two vectors, fused.

Self-Hosted AIAbdullah Chaudary6 October 20266 min read

Qdrant and BGE-M3: Hybrid Search Without a Second Model

BGE-M3 produces dense and sparse vectors from one pass, so Qdrant can run hybrid search for production RAG without a second embedding model: prefetch both, fuse with RRF, filter early.

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Qdrant and BGE-M3: Hybrid Search Without a Second Model