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Semantic Search

Definition

Search technology that understands the meaning and context of queries rather than just matching keywords.

In-Depth Explanation

Semantic search uses embeddings to find conceptually similar content even when exact words differ. It understands synonyms, context, and intent. This approach powers modern search experiences and is fundamental to RAG systems. It dramatically improves search relevance over traditional keyword matching.

Real-World Example

Searching "how to fix slow computer" also returns results about "speeding up PC performance" and "optimizing system speed."

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Related Terms

Embeddings

Dense vector representations of data (text, images, etc.) that capture semantic meaning in a numerical format.

Retrieval-Augmented Generation(RAG)

A technique that enhances LLM outputs by retrieving relevant information from external knowledge bases before generating responses.

Vector Database

A specialized database designed to store and efficiently query high-dimensional vector embeddings.