# Domain Ontology

Sarvam built a knowledge fabric for enterprise agents that compiles documents once into a navigable knowledge tree and a queryable domain ontology, so agents locate material by directory and filter by entity instead of re-retrieving passages for every question. On Harvey's LAB law-firm benchmark with GLM 5.3 as the agent model, answers met 84.2% of expert rubric criteria versus 55.1% for agentic RAG, while average task cost fell from $0.64 to $0.28; on Sierra's tau-knowledge banking benchmark with GLM 5.2, the fabric matched baseline accuracy using 64% fewer tokens.

Sarvam built a knowledge fabric for enterprise agents that compiles documents once into a navigable knowledge tree and a queryable domain ontology, so agents locate material by directory and filter by entity instead of re-retrieving passages for every question. On Harvey's LAB law-firm benchmark with GLM 5.3 as the agent model, answers met 84.2% of expert rubric criteria versus 55.1% for agentic RAG, while average task cost fell from $0.64 to $0.28; on Sierra's tau-knowledge banking benchmark with GLM 5.2, the fabric matched baseline accuracy using 64% fewer tokens.