Hybrid Search: Combining Keyword and Vector Search
Source: learn.microsoft.comintermediate
Hybrid search combines keyword precision with vector search's conceptual understanding in one query. It excels at retrieving relevant documents for RAG by finding both exact matches (like names) and similar ideas.
Hybrid search provides superior relevance by blending keyword precision with vector search's conceptual understanding. It runs both full-text and vector queries in parallel from a single API call against a specially prepared index. This approach is ideal for RAG systems, as it can find both exact matches for jargon or names and documents that are semantically similar to the query's intent.
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