Semantic Search

hybrid-search-implementation lets you combine vector and keyword search to boost recall in RAG systems and search engines. Ideal when neither method alone is enough.

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

Implement efficient similarity search with vector databases. Use for semantic search, nearest neighbor queries, or optimizing retrieval performance in backend systems.