Der Purple8 — AI-Native Application Backend MCP-Server,
verbunden mit einem Klick.

rag.query — Flat Vector RAG — retrieves the most relevant graph nodes by pure vector similarity (HNSW + RRF fusion + keyword fallback), then calls the c

rag.hybrid_query — Hybrid Graph-Vector RAG — fuses vector similarity AND graph structural signals at every stage: dual-seed fusion (Weighted RRF over vector ra

rag.profile_collection — Analyse the graph topology and return recommended RAG retrieval settings. Profiles node count, edge density, degree distribution, edge-type

graph.query — Execute a Cypher query against the Purple8 knowledge graph and return matching records. Use for nodes, edges, paths, or aggregated data.

graph.vector_search — Find the k nearest nodes to a natural-language query using the HNSW vector index.

graph.hybrid_search — Combine vector similarity with graph traversal for highest-recall retrieval. Best when graph structure matters.

graph.traverse — Walk the graph from a starting node following edges up to a given depth.

graph.add_node — Insert a new node into the graph (accepts `type`, `label`, or `node_type`). Requires editor role.