#search
Wiki 7
- Agentic Search Search an agent decides when and how to run, across many context sources each with its own native search tool
- Agentic Search for Context Engineering Leonie Monigatti's case that context engineering is ~80% agentic search, with three demos on what each search tool can and can't do
- Fast Levenshtein Distance Using a Trie How to find dictionary words within N edits of a query 300× faster by sharing Levenshtein table rows across trie prefixes
- Full Text Search with IndexedDB Building full-text search on IndexedDB with multiEntry indexes and rarest-term probing
- Hybrid Search Combining BM25 keyword search with embedding similarity for better retrieval
- Inverted Index Data structure mapping terms to documents, the foundation of all full-text search systems
- Terminal Search Clients ddgr, googler and two Kagi CLIs compared on auth cost, output format, upkeep and agent use