“RAG”

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

Butterbase MCP server — manage your backend: schemas, auth, functions, storage, RAG, deploys.

NVIDIA NemoClaw knowledge graph — 55 nodes, F1 0.576 (+269% vs RAG), 11x fewer tokens.

Full-text financial reports (US, China, Japan, Korea, Taiwan, UK) as clean Markdown for RAG agents.

Salesforce AgentForce knowledge graph — 40 nodes, Einstein Trust Layer, 11x fewer tokens than RAG.