Semantic Search
Semantic Search is an information retrieval technique that seeks to understand the searcher's intent and contextual meaning of terms, rather than just matching keywords. It leverages vector embeddings to find semantically relevant documents.
Frequently Asked Questions
How does semantic search work in RAG?▼
It converts the user's query into an embedding, performs a vector search to find documents with the closest vector distance, and feeds those documents to the model.
Is semantic search always better than keyword search?▼
No, hybrid search combining keyword (BM25) and semantic search often yields the highest retrieval accuracy.
Quick Facts
- CategoryInformation Retrieval
- Key ApplicationModern search engines, RAG context retrieval, and content recommendations
Coverage Trend12 Weeks
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Semantic Search Media Coverage & Intelligence
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