Ingest
Load documents, repositories, APIs, databases, and domain-specific sources while preserving source metadata.
Technology
One reusable knowledge layer for trustworthy AI.
Leyli connects enterprise sources, ontology grounding, knowledge graphs, evidence, GraphRAG context, and API-ready delivery into one explainable architecture.
Sources→Extraction→Ontology→Graph→GraphRAG→AI Apps
Architecture
From documents to AI-ready knowledge
The same modular pipeline can support biomedical, legal, finance, manufacturing, research, and enterprise knowledge domains.
Extract
Detect entities, relations, semantic types, evidence spans, and candidate knowledge from unstructured content.
Ground
Connect extracted concepts to ontologies and controlled vocabularies to reduce ambiguity.
Represent
Build inspectable knowledge graphs with nodes, edges, communities, paths, and source evidence.
Deliver
Generate GraphRAG packages, annotations, exports, and API-ready objects for downstream AI systems.
Govern
Keep knowledge traceable, reviewable, version-aware, and ready for enterprise validation workflows.
Why it matters
Trustworthy AI needs more than retrieval.
Search finds text. Leyli builds structured knowledge that AI systems can inspect, cite, reuse, and reason over.
| Traditional document AI | Leyli Knowledge Infrastructure |
|---|---|
| Retrieves chunks | Builds connected knowledge objects |
| Weak semantic consistency | Grounds terms in ontologies |
| Limited explainability | Preserves evidence for every fact |
| Hard to reuse | Delivers GraphRAG, exports, and APIs |