Metadata Pre-filtering
A retrieval optimization technique in RAG systems that applies structured metadata conditions—such as time range or document type—to perform hard filtering on candidate documents before executing vector similarity search. This narrows the retrieval scope and improves retrieval precision at the business logic level.
Timeline (last 90 days)
The developer reduced hallucinations to nearly zero by introducing metadata pre-filtering.
The approach of metadata pre-filtering is to first have an LLM determine user intent and extract structured filter conditions from the query, then apply these conditions as hard filters to the vector database before executing semantic similarity search.
All Facts (2)
The developer reduced hallucinations to nearly zero by introducing metadata pre-filtering.
50%UnverifiedThe approach of metadata pre-filtering is to first have an LLM determine user intent and extract structured filter conditions from the query, then apply these conditions as hard filters to the vector database before executing semantic similarity search.
50%