Vectorstores Tab

The Vectorstores tab manages vector stores used by RAG nodes. Create stores, upload documents, and share them with your team.

Creating a Vector Store

1. Click New Vector Store
2. Enter a name and optional description
3. Select a vector store credential – RAG: Qdrant + OpenAI (external Qdrant server), RAG: Psql + OpenAI (Heym's own Postgres database via pgvector), or RAG: Custom Embeddings (any OpenAI-compatible embedding endpoint, targeting either backend). The credential determines the store's backend.
4. Optionally set a custom collection name (defaults to auto-generated)
5. Save

A store's backend is fixed by its credential at creation time. In a RAG node, the Database dropdown filters stores to the matching backend.

Uploading Documents

• Upload files – Drag and drop or select files (PDF, TXT, etc.)
• Duplicate handling – Choose to override or skip duplicate filenames
• Progress – Upload progress is shown during ingestion

Managing Content

• View items – See source groups and document counts per store
• Delete sources – Remove specific files or source groups from a store
• Edit store – Change name, description, or credential

Sharing

• Share vector stores with other users by email
• Shared stores appear with an indicator
• Revoke sharing from the store card menu

Using in Workflows

In a RAG node, select the vector store by name. The node retrieves relevant chunks and augments the LLM context with them.

Related

• Credentials Tab – Vector store credential setup (Qdrant, Postgres, or custom embeddings)
• RAG Node – Node reference
• Workflows Tab – Create workflows that use RAG
• Contextual Showcase – Compact page guide for dashboard surfaces