giancarloerra / SocratiCode

What it does

• Hybrid code search. Built on Qdrant, a purpose-built vector database with HNSW indexing, concurrent read/write, and payload filtering. Each chunk stores both a dense vector and a BM25 sparse vector; the Query API runs both sub-queries in a
• Configurable Qdrant. Use the built-in Docker Qdrant (default, zero config) or connect to your own instance (self-hosted, remote server, or Qdrant Cloud). Configure via QDRANT_MODE, QDRANT_URL, and QDRANT_API_KEY environment variables.
• Configurable Ollama. Use the built-in Docker Ollama (default, zero config) or point to your own Ollama instance (native install -GPU access-, remote server, etc.). Configure via OLLAMA_MODE, OLLAMA_URL, EMBEDDING_MODEL and EMBEDDING_DIMENS
• Multi-provider embeddings. Switch between Local Ollama (private, GPU access), Docker Ollama (zero-config), OpenAI (text-embedding-3-small, fastest), Google Gemini (gemini-embedding-001, free tier), LM Studio (local OpenAI-compatible server
• Private & secure. Everything runs on your machine — your code never leaves your network. The default Docker setup includes Ollama (embeddings) and Qdrant (vector storage) with no external API calls. No API costs, no token limits. Suitable