Data Sources
Sources are where documents live. Connect them with a Data Connector; ingestion automatically captures source metadata (Last Modified, File Type, Created By, Folder Structure) on every document.
Amazon S3
Bucket name, Access Key, Secret Key
Azure Blob Storage
Account, Container, Credentials
Google Cloud Storage
Bucket, Service Account
SharePoint
Client ID/Secret, Tenant ID, Site Name
OneDrive
Client ID/Secret, Tenant ID, Site
PostgreSQL (pgvector)
Host URL, Database, Credentials, Port
Qdrant
URL, API Key, Collection
Destinations
Destinations receive enriched documents and metadata. Configure them in the app’s Export Destinations tab or through the SDK’s destination resource.SharePoint
Metadata as native library columns, enrich at the source
OneDrive
Enriched documents and metadata in drive libraries
PostgreSQL
Metadata rows for analytics and hybrid search
Amazon S3
Curated documents and metadata objects
Google Cloud Storage
Curated documents and metadata objects
Qdrant
Chunk-level records with tags as payload, via slice export
Ecosystem
Collibra
Deasy document sets and tag definitions, cataloged for governance.
Clean Up a RAG Index
Feed RAG pipelines with curated, metadata-rich chunks.
Private Preview
Databricks Private Preview
Curated slices delivered to Unity Catalog Volumes with metadata alongside
Microsoft Purview Private Preview
Deasy metadata surfaced in the Purview data map
Supported File Types
Next Steps
Data Connectors
Create and manage source connections with the SDK.
Destinations
Export options, levels, and metadata formats.