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Documentation Index

Fetch the complete documentation index at: https://docs.cognee.ai/llms.txt

Use this file to discover all available pages before exploring further.

These endpoints query your knowledge graphs. For the full parameter reference, see Search Basics.

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Recall

POST /api/v1/recall — Retrieve information from the knowledge graph. Auto-routes the query to the best retrieval strategy. This is the primary search endpoint. 
curl -X POST https://your-tenant.aws.cognee.ai/api/v1/recall \
  -H "X-Api-Key: your-key" \
  -H "Content-Type: application/json" \
  -d '{"query": "What entities are in my data?"}'
GET /api/v1/recall — Retrieve recall history for the authenticated user. POST /api/v1/search — Search for nodes in the graph database. Provides direct control over the retrieval strategy. Accepts a search_type parameter to select a specific search mode. 
curl -X POST https://your-tenant.aws.cognee.ai/api/v1/search \
  -H "X-Api-Key: your-key" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What did Einstein develop?",
    "search_type": "GRAPH_COMPLETION",
    "datasets": ["physics_data"]
  }'
Available search types are documented in Search Types. GET /api/v1/search — Retrieve search history for the authenticated user.

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Visualize

GET /api/v1/visualize — Generate an HTML visualization of a dataset’s knowledge graph. Requires a dataset_id query parameter (UUID). Returns a self-contained HTML page with an interactive graph. 
curl "https://your-tenant.aws.cognee.ai/api/v1/visualize?dataset_id=<uuid>" \
  -H "X-Api-Key: your-key"
See also the Knowledge Graph UI for the built-in visualization. POST /api/v1/visualize/multi — Generate a combined visualization from multiple users’ datasets.
recall is recommended for most use cases. Use search when you need to specify a particular retrieval strategy.