Semantic Search
context-graph
Semantic Search
Semantic search across knowledge graph.
Performs vector similarity search over processed knowledge to find relevant information based on natural language queries.
Body should contain:
- query: Natural language question or keywords (required)
- limit: Maximum results (1-100, default 10)
- filters: Optional filters (dataset_ids, etc.)
- search_type: Search strategy (GRAPH_COMPLETION, CHUNKS, RAG_COMPLETION, TEMPORAL, FEEDBACK)
POST
Semantic Search
Documentation Index
Fetch the complete documentation index at: https://docs.kubiya.ai/llms.txt
Use this file to discover all available pages before exploring further.
Authorizations
Enter your Kubiya API token (format: Bearer )
Body
application/json
The body is of type Body · object.
Response
Successful Response