Semantic Search
Also known as: Vector Search, Neural Search, Meaning-Based Search
A search methodology that understands the contextual meaning and intent behind a query rather than matching exact keywords, using embeddings and vector similarity to find semantically relevant results.
Sources & References
Elastic
Related Terms
Embeddings
Dense numerical vector representations of data (text, images, audio) that capture semantic meaning, enabling similarity comparisons and machine learning operations in a continuous vector space.
Natural Language Processing
A field of AI focused on enabling computers to understand, interpret, generate, and meaningfully interact with human language in both text and speech forms.
Retrieval-Augmented Generation
A technique that enhances AI model outputs by retrieving relevant information from external knowledge sources and incorporating it into the model's context before generating a response.
Vector Database
A specialized database designed to store, index, and query high-dimensional vector embeddings, enabling efficient similarity search used in RAG systems and AI applications.