TeaRAGs vs CodeFlow

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

Provides semantic code analysis and search capabilities for Python codebases through AST extraction, call graph generation, and vector embeddings, enabling rapid semantic search, architectural documentation generation, and efficient navigation of large Python projects.

MCP Servers

MCP Servers

2

—

—

TypeScript

—

MIT

—

—

—

55

6