Destinations are target systems where enriched metadata and document data can be exported. While Data Connectors bring documents into the platform, Destinations push enriched data out to vector databases, document management systems, and databases for downstream applications.Documentation Index
Fetch the complete documentation index at: https://docs.deasylabs.com/llms.txt
Use this file to discover all available pages before exploring further.
Supported Destinations
Qdrant
Vector database for AI applications and semantic search.
PostgreSQL
Relational database with vector support for hybrid search.
Azure SQL
Enterprise-grade SQL database in the Azure cloud.
SharePoint
Enrich original documents with metadata columns in Microsoft 365.
Configuration Details
| Destination Type | Description | Key Configuration | Ideal Use Case |
|---|---|---|---|
| Qdrant | Vector database for AI applications | Collection name, URL, API Key | Semantic search, RAG pipelines |
| PostgreSQL | Relational database with vector support | Host, Database, Collection, Credentials | Structured analytics, hybrid search |
| Azure SQL | Microsoft cloud database | Server, Database, Table, Credentials | Enterprise data warehouses |
| SharePoint | Microsoft 365 document management | Client ID/Secret, Tenant ID, Site Name | Enriching original documents with metadata columns |
Export Options
| Option | Description | Values |
|---|---|---|
| Export Level | What data granularity to export | file (document-level), chunk (segment-level), both |
| Export Tags | Specific metadata tags to include | List of tag names, or empty for all |
| Export Nodes | Include vector embeddings | true / false |
| Export Metadata | Include extracted metadata | true / false |
| Metadata Format | How metadata is stored | column_store (separate columns), json_store (single JSON column) |
Export Processing:
- Small Exports (< 100 files): Processed synchronously with immediate results
- Large Exports (≥ 100 files): Processed in the background with progress tracking via
tracker_id
How Destinations Work
Choose Metadata Format
Decide between column store (separate columns) or JSON store (single JSON column).
Python SDK
- Create Destination
- Export Data
- List Destinations
- Delete Destination
API Reference
Create Destination
Create a new destination
List Destinations
List all your destinations
Delete Destination
Remove a destination
Export to Destination
Export enriched data to a destination

