Full Text Search
person concept tool org talk claim — click a node to jump to its page; hover an arrow for the relation
A retrieval technique that searches document corpora by matching exact or approximate keyword patterns against raw text, commonly implemented via algorithms such as BM25, or tools such as grep, glob, and regex.
Role in retrieval pipelines
Kuba Rogut (Turbopuffer) positions full text search as one of several complementary retrieval strategies available to AI systems, alongside vector search and other methods. In his framing, it is not a standalone approach but part of a broader toolkit: "It could be vector search full text search using stuff like BM25, grepping, globbing, using regex." (source)
Use by agentic coding tools
Claude Code is cited as a concrete example of an agent that employs full text search operationally during task execution — specifically, it can traverse and search a local file system using grep-style pattern matching: "it can read your file you start grepping through your file system." (source) This illustrates how agentic systems can substitute or supplement embedding-based retrieval (evals-guided or otherwise) with deterministic text-matching when working over structured local corpora like codebases.