ColGrep’s blend of semantic matching and familiar code-search filters
Weaviate Podcast says LightOn built retrieval models small enough to index a codebase locally on a laptop, then paired them with regex and file filters in ColGrep.
TLDR
Weaviate Podcast describes ColGrep as combining the regex and file filters coding agents already use with semantic matching—search based on meaning. It says LightOn’s 70-million-parameter code retriever outperformed everything up to 300 million parameters, and credits the approach with fewer repeat searches, fewer tokens spent on search and better answers on the hardest queries.
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