A practical overview of the main types of search used in modern systems (how they work and how they relate) from classic keyword search to AI agents that use search as a tool, so teams can make informed design and technology decisions instead of treating “search” like a black box.
Download this whitepaper to learn:
Why “search” isn’t one thing: the distinct layers from keyword and fuzzy search to vector search, RAG, and agent-based search.
How keyword (BM25) search works, and where it shines for precise, stable retrieval.
How vector (embedding) search captures meaning beyond exact wording. And how hybrid/graph enhancements improve relevance and control.
How Curiosity implements enterprise search end-to-end: BM25 keyword search, HNSW vector search, fuzzy + hybrid search, plus graph enrichment, RAG integrations, and controllable LLM agents.