Definition
Semantic search interprets the intent and contextual meaning behind a query, going beyond simple keyword matching. It uses embeddings to represent text as vectors in a high-dimensional space, allowing it to find results that are conceptually similar even if they don’t share exact words. This enhances relevance in information retrieval by capturing synonyms, related concepts, and nuanced user intent, making it crucial for modern AI-driven search experiences.
Summary
Search technology that understands the meaning of query terms rather than just matching keywords.
Key Concepts
- Embeddings
- Vector Similarity
- Intent Recognition
- Contextual Understanding
Use Cases
- Enterprise document search
- E-commerce product discovery
- Knowledge base querying
Code Example
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