search_knowledge_graph

io.github.ray999/knowledge-graph · Verify this server

Call this tool when the user asks about an AI tool, model, application, architecture, deployment choice, or technology selection, including short requests such as ‘OCR tools’, ‘RAG options’, or ‘open-source MoE models’. Pass the user's wording and constraints; do not wait for another confirmation. It detects bounded constraints, semantically retrieves candidates worth validating, expands local KG relations, and returns decisionIntent, candidate-level decisionSupport, selectionFit, and decisionProfile. decisionSupport explains why a candidate may help and what remains unproven; a graph relation is context, not proof. After the Agent has actually used the result, interactionContract is the single low-token quality-feedback step: if there is a concrete observation and public writes are allowed, choose one reply to an existing thread or one new feedback comment. It does not trigger another search, LLM call, or KG write. Skip only for discovery-only use, client write restrictions, or no grounded observation.