local-first semantic code search engine
A fast semantic search and retrieval engine
The living wiki that writes itself.
Semantic code search using vector embeddings. Search your codebase with natural language queries at the function level.
MediaWiki Code2Code Search is a high-performance semantic search tool designed specifically for the MediaWiki open-source ecosystem, integrated with the Software Heritage archive. It utilises a single-stage neural retrieval architecture to help developers navigate complex codebases with high precision and minimal resource usage.
JCT: An intent-based semantic code search engine for Python that retrieves code using natural-language queries. Combines AST parsing, embeddings, and ranking to support concept-driven development, evaluation, and research in code retrieval.
Add a description, image, and links to the code-search-engine topic page so that developers can more easily learn about it.
To associate your repository with the code-search-engine topic, visit your repo's landing page and select "manage topics."