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Knowledge graphs¶
Operations on KGs¶
When interacting with a KG, you can obtain the proj_key and kg_key identifiers from the API section of the UI.
List the KGs in a project¶
proj_key = "abc123" # get your proj_key from the UI details
kgs = api.knowledge_graphs.list(proj_key)
print(kgs)
Query a KG¶
from deepsearch.cps.client.queries import Query
from deepsearch.cps.client.queries.task import Value
from deepsearch.cps.client.queries.query_tasks import ForEach, Workflow
from deepsearch.cps.client.builders.wf_builder import WorkflowBuilder, WorkflowTaskOperation
proj_key = "abc123" # get your proj_key from the UI details
kg_key = "xyz987" # get kg_key (also called bag_key) from the UI details
kg = api.knowledge_graphs.get(proj_key, kg_key)
if kg is None:
raise Exception("No such kg")
# Get the KG topology
topo = kg.get_topology()
query = Query()
builder = WorkflowBuilder()
# ... add Workflow tasks to the query
# Add Workflow and KG coordinates to the query
wf = query.add(Workflow(id="", builder=builder, coordinates=kg, inputs={}))
# Execute the query
result = api.queries.run(query)
More example queries are available in the examples gallery.
Download a KG¶
Using the deepsearch cps
component:
After you have generated the api
object (from a profile):