medium10 pts · first answer countsvector-searchrag

Embeddings miss exact product codes

Users search for exact codes like "INV-20931" or "error E1047", and pure embedding search often returns the wrong documents. What helps most?

A.Hybrid search: combine keyword search (such as BM25) with vector search and merge the resultsB.Use a bigger embedding model onlyC.Remove all numbers from documents before indexingD.Lower the number of results returned to one

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