Semantic Search
Search that retrieves results based on meaning rather than exact keyword matching.
Semantic search converts both the query and documents into embeddings and retrieves items by vector similarity. Unlike keyword search, it understands synonyms, paraphrases, and conceptual relationships. In LLM applications, semantic search is the retrieval backbone of RAG pipelines and powers contextual lookup in document Q&A systems.
Términos Relacionados
A dense numerical vector that encodes the semantic meaning of text.
A database optimized for storing and searching high-dimensional embedding vectors.
Enhancing model responses by fetching relevant documents from an external knowledge base at query time.
The algorithm that converts raw text into a sequence of tokens for a language model.