CogniGraph in practice
Different data.
Same question.
A message. A research interview. A shipment record. The useful answer often lives in the connection between them.
Build applications that bring documents, relationships and search into the same question.
Find your use caseApplication patterns / Built on documents, graphs and search
01 Digital forensics & investigations
Follow the evidence.
An isolated message tells part of a story. Connect it to people, devices and events so an analyst can examine the context and return to the original record.
- Bring together
- Messages, interviews, device exports and examination notes.
- Connect
- People, accounts, artifacts, places and timeline events.
- Build
- Cross-record search, relationship exploration and source-linked case views.
A question worth connecting
Which records mention this person around the same event?
Search for the person, follow linked artifacts, then inspect their timestamps and source references.
Explore TranscriptIntelFrom an extracted record to an analyst’s view
Ingest records from the tools your team already uses. Store source identifiers and timestamps alongside documents; model extracted relationships as edges. Search narrows the records, and graph traversal reveals the connected context.
The application owns acquisition, access policy and evidence-handling procedures. A stored relationship remains something an analyst can inspect and challenge.
02 Pharma & life sciences
Keep the source in sight.
Connect research interviews, literature and the concepts they discuss. Give reviewers a path from a theme or proposed relationship back to the passage behind it.
- Bring together
- Research interviews, study documents, literature and reviewer notes.
- Connect
- Passages, research themes, studies and the concepts they discuss.
- Build
- Qualitative research views, knowledge discovery and evidence-linked review.
A question worth connecting
Which passages support this theme, and which study did they come from?
Search for the theme, follow its supporting passages, then inspect the study and source context.
Explore TranscriptIntelWhere the database ends and domain review begins
Compare expressed needs across interviews and discover related material by wording and meaning. When proposed facts need a formal release process, evidence-bound construction and signed approval workflows provide a governed review path.
CogniGraph provides storage, retrieval and governed construction mechanisms. Teams define the domain policy and supply qualified reviewers. These are research and review patterns; independent clinical qualification is unfinished.
Governed construction and signed governance are Enterprise capabilities, available for evaluation. See the capability and licensing details on GitHub.
03 Cold chain & logistics
Find the affected lot.
A temperature reading becomes useful when you know which shipment it belongs to, what that shipment carried and where it went next.
- Bring together
- Telemetry events, shipping manifests, handoff records and handling notes.
- Connect
- Readings, shipments, lots, suppliers and recorded destinations.
- Build
- Excursion investigations, traceability views and recall-support workflows.
A question worth connecting
Which lots travelled on this shipment, and where did they go next?
Find the shipment, follow its manifest to each lot, then inspect the recorded handoffs and destinations.
Explore graph queriesTrace the affected lots
Illustrative scenario / synthetic records
A shipment left its configured temperature range. Which lots and destinations are connected?
- Recorded event
- 8.9°C Configured range: 2–8°C
- Linked shipment
- SHP-104 Two lots on the manifest
| Lot | Destination | Source record |
|---|---|---|
| LOT-27 | North depot | Manifest M-104, row 1 |
| LOT-28 | East depot | Manifest M-104, row 2 |
This example shows a relationship lookup. The temperature range is illustrative; a quality team determines the operational response.
Connect your existing telemetry and logistics systems. CogniGraph stores and queries their records; collection and alerting live in the surrounding application.
04 Food & retail
A code is just the beginning.
Connect product identifiers with commodities, varieties, suppliers and handling information. Turn a lookup into an entry point for the wider product context.
- Bring together
- PLU codes, product descriptions, commodity data and handling information.
- Connect
- Products, varieties, categories, suppliers and source records.
- Build
- Product discovery, connected catalogs and contextual lookup experiences.
A question worth connecting
What sits behind this product code, and how is it connected?
Look up the identifier, follow its commodity and variety links, then explore the wider product context.
Explore PLU FinderFrom a product code to a connected catalog
Combine exact identifier lookups with text and semantic search over descriptions. Use explicit relationships to connect each product to its categories, suppliers and supporting records.
PLU Finder uses CogniGraph and provides produce identification, commodity information and developer access to PLU data.
Your data. Your domain.
Start with one
connected question.
Choose the records, the relationships and the question your team needs to answer. See how to express it in CGQL.
Explore CGQL Try the interactive demo