RagCode

Privacy-first semantic code search using local Ollama and Qdrant vector storage for multi-language repository understanding

RagCode transforms repositories into AI-ready codebases through semantic vector search, enabling understanding by meaning rather than keywords. Built in Go with support for Go, PHP (including Laravel), and Python codebases, it uses local Ollama for embeddings and Qdrant for vector storage to maintain complete privacy without external API calls. The server provides semantic search, hybrid search, function details retrieval, type definition lookup, and workspace indexing across multiple languages with automatic workspace detection and per-language collection management.