A high-performance semantic code search server built on Qdrant vector database with support for multiple embedding providers including Ollama, OpenAI, Cohere, and Voyage AI. Features AST-aware chunking using Tree-sitter for precise semantic boundaries, hybrid search combining dense vectors with BM25, and git metadata integration for filtering by authorship, code age, and churn rate. Designed for enterprise-scale codebases with incremental indexing that only reprocesses changed files.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.