Code Sage vs TeaRAGs

Provides high-performance semantic code search combining BM25 keyword search with vector embeddings and RRF reranking, using AST-based chunking to intelligently split code into semantic units across 60+ programming languages for natural language code exploration and analysis.

Provides semantic code search across large codebases using vector embeddings and AST-aware chunking with git metadata integration for intelligent code discovery and analysis.

MCP Servers

MCP Servers

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TypeScript

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MIT

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67

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