feature
RAG & GraphRAG Fine-tuning
Ground agents in your knowledge — with retrieval and knowledge-graph reasoning that you can tune.
The problem
Off-the-shelf retrieval returns irrelevant chunks and misses the relationships between facts, producing shallow or wrong answers on complex enterprise data.
What it does
Retrieval-augmented generation over your documents and data sources.
Tunable chunking, embedding, retrieval, and ranking for your corpus.
GraphRAG that reasons over entities and relationships, not just text chunks.
Evaluation of retrieval quality and grounded answer accuracy.
The Outcome
Agents that answer accurately from your knowledge and can reason across connected facts — not just paraphrase snippets.
See how it scales in your environment
Talk through multi-tenant isolation and governance with our team.