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Data storage and use

Understand how documents and knowledge graphs are stored, what reaches an AI model, and how to export or delete data.

What is stored

Documents

Local workspace notes are saved as Markdown files in your chosen folder.

Ontology

Entities and relationships are stored as a graph linked to source documents.

Vocabulary and review decisions

Domain vocabulary, entity types, properties, and review decisions are stored separately.

Topic maps

Maps and summaries of related topics are saved in the workspace.

Search indexes

Keyword and vector search indexes are stored in the environment you use.

Conversation history

Conversations and the tool activity within them are stored with a link to the workspace.

What reaches a model

Your request and the document or conversation context needed for the task are sent to the selected model.

Moving and managing data

Ontology export

Select source documents, the graph, vocabulary, decisions, and other items to export as a ZIP bundle.

Source files

You can open local workspace Markdown notes in other editors and copy the files.

Data cleanup

Choose which graph data, indexes, and records to clear per workspace, separately from deleting source files.

Cloud and data handling

Cloud storage

Cloud workspace documents, graphs, and conversations are stored on Consilience hosting, separately from desktop local storage.

Backup scope and retention

Hosting with backups configured periodically backs up changed workspaces, with included data and retention governed by the operating policy. Agent learned memory and code indexes are excluded from the default backup.

Deleting a cloud workspace

An owner can delete a workspace after confirmation, while server copies and backup retention are managed separately.

Model training and providers

Consilience does not use customer data to train models, while data sent to external models is subject to each provider’s retention and training policies.

Consilience Data Storage and Use