PyTorch Documentation Search vs Codebase RAG

Provides semantic search over PyTorch documentation with code-aware results, enabling developers to find relevant APIs, examples, and error messages through intelligent ranking that prioritizes code snippets or conceptual explanations based on query type.

Provides semantic codebase search and file retrieval using CocoIndex embeddings and PostgreSQL with pgvector for similarity search, enabling natural language queries to find relevant code snippets with similarity scores and line numbers.

MCP Servers

MCP Servers

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