Enables semantic search over local AI-agent session logs (e.g., Claude Code, Hermes) using local embeddings, returning relevant chunks without exposing full transcripts.
Provides semantic search over project knowledge layers (memories, wiki, docs) using local embeddings, enabling AI coding agents to recall relevant context without external API calls.
Enables querying Confluence or Kubernetes documentation through hybrid search and an agentic RAG pipeline, returning structured answers with citations.