Tag

#bm25

Contextual Retrieval: Fix RAG Chunks That Lose Context

Plain RAG embeds chunks that have lost their document context, so 'revenue grew 3%' matches nothing useful. Contextual retrieval writes a short per-chunk context and prepends it before embedding and BM25. Here is the method, the build, and the honest ingest trade-off.

Muhammad Qasim HammadJuly 17, 20267 min

RAG & Knowledge

Hybrid Search for RAG in n8n: BM25 + Vector, and When to Use Each

Vector search nails meaning but misses exact tokens like SKUs, error codes, and function names. Hybrid search adds a BM25 keyword leg and fuses both with Reciprocal Rank Fusion. Here is when each wins and how to wire it in n8n with Qdrant or pgvector.

Muhammad Qasim HammadJune 29, 202610 min