Introduction
Vector Data Loader is a powerful document management platform designed to help you load, organize, and synchronize documents from multiple sources into vector stores. This enables advanced semantic search and retrieval-augmented generation (RAG) applications.
What is a Vector Store?
A vector store is a specialized database that stores documents as numerical representations called "embeddings." These embeddings capture the semantic meaning of your content, allowing for intelligent similarity searches. Instead of traditional keyword matching, vector stores find documents based on conceptual similarity—understanding that "automobile" and "car" mean the same thing.
Key Features
- Multi-Source Ingestion: Connect to 12 sources, including Confluence, Google Drive, GitHub, cloud storage, websites, and file uploads
- Automatic Chunking: Documents are intelligently split into optimal-sized chunks for vector storage
- Multiple Vector Store Support: Choose from Supabase pgvector, generic PostgreSQL/pgvector, Pinecone, Cloudflare Vectorize, Qdrant, or Milvus
- Flexible Embedding Models: Support for OpenAI, Cohere, Google Gemini, and Ollama
- Project Organization: Organize documents into projects for better management
- Scheduled Updates: Check synced documents for updates; monitor folders on six supported storage connectors for new files
- Team Collaboration: Multi-tenant architecture with organization support
Explore the Product Preview
The public homepage includes an interactive product preview with sample data. Use Dashboard, Sources, Documents, Playground, Usage, and Settings to explore the workflow. Browse a sample source, open a document to inspect its excerpt, or search the sample text. The preview does not connect accounts, sync documents, or run semantic search against a live vector store.
Open the public Features page to compare supported sources, vector stores, and embedding providers. Choose a category, then follow a provider's setup guide for its connection requirements.
Getting Help
You can access this documentation anytime from within the application:
- Click your profile avatar in the bottom-left corner of the sidebar
- Select Documentation from the dropdown menu
- The docs site opens in a new tab
Next Steps
Ready to get started? Check out our Getting Started guide to create your account and begin loading documents into your vector store.
Marketing and setup guidance reviewed: September 2026