Enables querying Confluence or Kubernetes documentation through hybrid search and an agentic RAG pipeline, returning structured answers with citations.
Provides a unified MCP/A2A endpoint that fans out to multiple LLMWiki Knowledge Sources, synthesizes answers with citations and trace steps, and optionally calls an OpenAI-compatible runtime for grounded responses.
Enables governed, audit-traced AI access to a curated knowledge base through the Model Context Protocol, with OAuth 2.1 authentication and policy enforcement for secure, compliant queries.