Knowledge RAG vs Semantic Context

Local knowledge retrieval system that combines semantic search with keyword-based routing for document analysis across security, development, and general knowledge domains using ChromaDB for vector storage and hybrid search through Reciprocal Rank Fusion.

Provides semantic code search across large codebases using ChromaDB vector storage and configurable embeddings, enabling indexing of local project directories with 50+ file type support and retrieval of code snippets with metadata tracking for development teams building knowledge bases and code navi

MCP Servers

MCP Servers

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Python

TypeScript

MIT

MIT

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55

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