Hybrid Retrieval v2: Qwen Embeddings, BM25, and RRF with a FastEmbed Reranker
Dense vectors miss exact identifiers. Here's the hybrid Qdrant setup I run: Qwen3 embeddings, BM25 sparse vectors, RRF fusion, and a CPU FastEmbed reranker.
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Dense vectors miss exact identifiers. Here's the hybrid Qdrant setup I run: Qwen3 embeddings, BM25 sparse vectors, RRF fusion, and a CPU FastEmbed reranker.
Count-based re-embedding leaves stale vectors pointing at edited text. Here's how semantic drift creeps in and how hash-based validation stops it.