Verify Imports and Explore Collections
Verify that an import succeeded and inspect the resulting ArangoDB collections
After an import finishes, you can confirm success and inspect the resulting knowledge graph in two ways: through the Importer / platform APIs, and directly in your ArangoDB database.
For the schema of each collection (Documents, Chunks, Entities, Communities, Relations, SemanticUnits), the relationship-type diagram, and the vector indexes that are created, see Architecture.
Verifying via the API
Project status
You can verify the state of the Importer service deployed for a project via the Arango Control Plane (ACP):
The status object inside importerServices looks like this when the
import completes successfully:
"status": {
"status": "service_completed",
"progress": 100,
"message": ""
}
For the full list of status values and what they mean, see Architecture and Error Handling.
Multi-file job status
When you submitted the import via POST /v1/import-multiple, you can poll
the job directly:
See Monitoring jobs for details.
Verifying via the ArangoDB web interface
- Connect to your ArangoDB instance.
- Navigate to the database where the Importer wrote.
- Confirm the following collections exist (where
{project_name}is your project name):{project_name}_Documents- original documents.{project_name}_Chunks- text chunks.{project_name}_Entities- extracted entities (Full GraphRAG only).{project_name}_Communities- thematic clusters (Full GraphRAG only).{project_name}_Relations- edge collection.{project_name}_SemanticUnits- present only ifenable_semantic_unitswas set totrue.
- Confirm that the graph
{project_name}_kgexists and contains the vertex and edge definitions above.
Querying the knowledge graph
Once collections are populated, you can:
- Run AQL queries directly against the collections.
- Traverse the graph using ArangoDB’s graph functions.
- Filter by
partition_idto scope queries to a specific partition. - Use AutoRAG for question-answering with citations against the imported documents.
Next steps
- Query your data: Use AutoRAG for semantic search and Q&A.
- Visualize relationships: Explore your graph with the Graph Visualizer.
- Import more documents: Return to Import Files to add more data.
- Optimize parameters: Review the Parameter Reference to fine-tune your imports.
