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GuardGraph: a GraphRAG firewall for LLM output — PII, policy & hallucination | SynapCores

Classic GraphRAG retrieves over a knowledge graph to *generate* better answers. GuardGraph points the same machinery at the opposite job: retrieve over a *security* knowledge graph to JUDGE whether an answer is safe to ship.

Every LLM response flows through SynapCores AIDB, which uses vectors + graph to catch PII disclosure, policy deviation, and hallucination — and to surface coordinated abuse ("attack rings").

AI output governance is the #1 enterprise blocker for LLM adoption — and it genuinely needs vectors + graph + realtime in one engine.

Built on SynapCores AIDB — vector + graph + SQL + AutoML + local LLMs in one self-hosted binary.

▶ See all demos: https://synapcores.com/demos
▶ Try it free (one binary, no signup): https://get.synapcores.com
▶ Site: https://synapcores.com
▶ Docs: https://docs.synapcores.com

#LLM #AIGuardrails #GraphRAG #AISafety #SynapCores #VectorDatabase #AIGovernance

Видео GuardGraph: a GraphRAG firewall for LLM output — PII, policy & hallucination | SynapCores канала Synapcores
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