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Use the Cognee Cloud UI to manage datasets, upload files, and trigger cognify. This page explains how you can manage your documents and datasets directly in the UI.

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Cognee instances

  • Cloud instance — Your Cognee Cloud workspace with managed infrastructure
  • Local instance — Your local Cognee installation for development and testing
  • Both instances contain datasets that can be synchronized between environments

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Managing datasets

Datasets are containers for your documents and all subsequent operations (add, cognify, memify, search). See permissions & security for how datasets are isolated.
  • Create a dataset using the top right Add dataset button of the Add data container. You can delete a dataset using the same menu.
  • See added documents by selecting the relevant dataset in the top right corner of the Add data container. All added documents are now visible in the bottom grey list below.

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Adding data

When a file is uploaded to a dataset, Cognee executes the add and cognify processes automatically:
  • Select the correct dataset for your data using the drop-down menu at the top right of the Add data container.
  • Add data by either dropping a document into the Add data container, providing a URL for import, or connecting an external data source.
  • Upload the documents to the dataset by pressing the Add data button. The files will be automatically cognified into the knowledge graph.
Since add and cognify run sequential, file processing can take a bit of time to complete. Be patient while your files are being processed into the knowledge graph.

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Searching your data

  • The search bar at the top of your dashboard lets you ask questions over everything ingested and cognified.
  • Use the drop-down in the top-right corner to select the dataset you would like to work with.

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Creating ontology

  • Use the Configure Memory container to define structural context for cognified data.
  • Define DataPoints and introduce hierarchical relationships to reflect the structural characteristics of the underlying data.
While we refine this section, you can already have a look at this code example.

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Next steps

Cognee Cloud SDK

Automate ingestion and search using the Python SDK.

Local Mode & Sync

Connect to local Cognee instances and sync data between local and cloud environments.