Grounded answers
Responses are assembled from approved source passages with citations your team can inspect.
GraphRAG combines hybrid retrieval, knowledge graphs, citations, access control, and audit trails so critical documents can be queried with confidence.
Workspace overview
Documents, queries, quality, and access posture in one view.
Documents
1,284
982 ready
Queries
48k
412ms p95
Quality
0.87
faithfulness
Retrieval signal
Recent sources
Security policy
Indexed with lineage
Support handbook
Indexed with lineage
Q2 product plan
Indexed with lineage
Product
Bring together documents, permissions, graph context, and answer quality in one workspace built for repeatable knowledge work.
Responses are assembled from approved source passages with citations your team can inspect.
Keyword recall, semantic search, and graph relationships work together for better context.
Role and sensitivity checks run before document context ever reaches the model.
Ingest PDFs, DOCX, text, and Markdown with parsing, chunking, embeddings, and lineage.
Extract entities and relationships so teams can reason across people, policies, and projects.
Every query, access decision, upload, and mutation is logged for operational review.
Workflow
GraphRAG makes the retrieval process visible enough for product teams, operators, and security reviewers to trust the result.
01
Upload source material and assign the right sensitivity level.
02
Parse, chunk, embed, and connect entities in the graph.
03
Retrieve only permitted context before the model sees a token.
04
Trace citations, quality scores, access checks, and audit events.
Security
Access checks, sensitivity levels, source lineage, and audit events are part of the core flow, not a reporting layer bolted on afterward.
Access log
Last 24 hours
alice@acme.co
Query
hr-bot
Embed
guest
Download
svc-pipeline
Graph
Get started
Upload a document, run the pipeline, and ask the first cited question with governance in place from day one.