About
Schema.ai is a source-grounded infrastructure knowledge system. The first public product focuses on vLLM operational knowledge: version-aware settings, metrics, evidence, and graph relationships that the web UI and future API access share from the same backend.
How it works
Source code, docs, design notes, issues are the ground truth for how vLLM works. AI tools attempt to ingest this knowledge through model training and by web search retrieval at inference time. Neither is reliable enough for use in managing production deployments.
A deterministic layer of factual building blocks, each with original source provenance baked in, verified, version-correct, and concept-linked in a knowledge graph.
Agents and assistants get facts that are always grounded in the original sources.
Every statement Schema.ai serves is a building block traceable to a checked source, scoped to a vLLM version. Known coverage gaps are recorded explicitly, so what the corpus cannot answer is as visible as what it can.