Integrations
Connect the source. Keep the meaning.
The local learning sample works today. Product connectors are being prepared; explore their intended setup below.
Connection preview
Coming soonData sources
Map a source field to a business property.
| Source field | Ontology property | Use |
|---|---|---|
| movie.title | Film.title | Display name |
| person.id | Person.identifier | Stable identity |
| credit.person_id | Film → Person | Relationship key |
Illustrative mappings. Actual dataset schemas have not been connected to this preview.
Model providers
- Provider candidates
- OpenAI · DeepSeek · Qwen · Claude · Ollama
- Configuration
- Endpoint, model, credentials and data policy
- Verification
- Compatibility and supported versions pending
Your own dataset
Choose a source
Select a supported source and define its access boundary.
Review the mapping
Check identifiers, field types and relationship keys.
Ask a known question
Compare the result with the original records.
Database candidates include Postgres, MySQL, SQLite and DuckDB. These names describe the integration direction, not verified compatibility or partnerships.
Run the learning sample
Inspect a small, working calculation on your computer.
Build with the API
Explore the planned request, response, SDK and MCP guides.
Inspect a connection before asking a question.
Illustrative contentExample mapping review for an invented film catalogue. These are design records, not the connected Movies dataset.
| Source | Model | Review note |
|---|---|---|
| films.id | Film.identifier | Stable key, no duplicates in the example |
| credits.person_key | Credit → Person | One unresolved reference needs review |
| credits.role | Credit.role | Preserve the original credit wording |
An unresolved key stays visible until it is corrected. Similar names should not create an assumed relationship.