Claude Context
Adds semantic code search to Claude using vector embeddings, allowing natural language queries to find relevant code across large codebases without loading entire directories into context.
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What it does
- Search codebases using natural language queries
- Index code using vector embeddings and AST parsing
- Filter files automatically based on relevance
- Connect to multiple embedding providers
- Store embeddings in various vector databases
Best for
Developers working with large codebasesAI coding agents needing codebase contextTeams wanting cost-effective code searchProjects requiring semantic code understanding
Handles millions of lines of codeCost-effective alternative to loading full directoriesMultiple embedding and database providers
