Codebase RAG vs KBDB

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.

PostgreSQL-backed RAG server that provides semantic search across document embeddings using pgvector, supporting multiple search modalities including question-answer pairs, similarity matching, style clustering, and code search with optimized distance metrics for knowledge base applications and cont

MCP Servers

Web Apps

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Python

Python

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Apache-2.0

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55

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