The past, present, and future of semantic search | Algolia

Semantic search is a technology that improves query processing and result relevance, going beyond simple keyword matching. It involves natural language processing (NLP) functions, knowledge graphs, and vector representation of text to understand the context and relationships between words. Hybrid search, which combines full-text keyword search and vector search into a single API, is expected to become more prevalent in the future as it delivers more accurate results faster than either technology alone.

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