v1.3 — Smart Auto-Sync

The ETL Pipeline for Production RAG

Connect your knowledge sources to any vector database. Structure-aware chunking, automatic sync scheduling, and zero ETL code required.

250 free credits/month No credit card 7+ integrations

Your Data Sources

Confluence
Drive
Notion
S3S3
Process & Embed

Vector Stores

Pinecone
pgvector
0+
Data Sources
0+
Vector Stores
0
Free Credits
0s
Avg Sync Time

See it in action

Explore the interface — click tabs to switch views.

🔒app.vectordataloader.com

Command Center

Real-time operations overview

+12%
1,247
Total Documents
+8%
45.2K
Vector Chunks
+2
6
Active Sources
23
Syncs Today
Recent Activity
Engineering Wiki / API Docs
Confluence24MB
Syncing...
Product Roadmap Q4
Google Drive2.1MB
2m ago
Support Knowledge Base
Confluence156MB
5m ago
Marketing Assets
Google Drive89MB
12m ago

From Raw Data to Vector Search

A complete ETL pipeline designed specifically for RAG applications.

Step 01

Connect Your Data

Link your existing knowledge bases in seconds. We handle the OAuth, rate limits, and file parsing for you.

Confluence (Spaces & Pages)
Google Drive (Docs, Slides)
Website Crawler
Amazon S3 & Supabase
Step 02

Configure Chunking Strategy

Don't just split by character. Use intelligent strategies that preserve document structure and context.

Recursive Text Splitting
Markdown/HTML Awareness
Configurable Overlap
Metadata Extraction
Step 03

Continuous Sync

We monitor your sources for changes. When a document is updated, we detect it and re-sync only the affected vectors.

Staleness Detection
Incremental Updates
Failed Job Retries
Real-time Status
Step 04

Production-Ready RAG

Your data is now queryable. Connect your LLM application directly to the vector store with pre-enriched metadata.

Source URLs for Citations
Pre-computed Embeddings
Compatible with LangChain
RAG Playground Included

Universal Connectors

Ingest data from your existing stack. We handle authentication, rate limiting, and parsing.

Confluence

Sync pages & spaces

Google Drive

Docs, Sheets, Slides

Website Crawler

Recursive crawling

S3
Amazon S3

Bucket monitoring

Notion

Pages & databases

Supabase Storage

File sync

Supported Vector Stores

Pinecone
Live Sync
Supabase pgvector
Live Sync
Qdrant
Live Sync
Milvus
Live Sync
Processing StrategyRecursive / Semantic

Simple, Pay-As-You-Go

Start free with 250 credits/month. Buy more only when you need them.

Always Free
Freeforever
250 credits/month
  • All source connectors
  • All embedding providers
  • All vector stores
  • No credit card required
Start Free

Need More Credits?

Buy credit packages anytime. Purchased credits never expire.

Starter
$5500 credits
StandardPopular
$253,000 credits
Value & Bulk
$50 - $100
View All Packages

Document sync costs 20 credits (~$0.20) • Free tier syncs ~12 docs/month • Learn more

Ready for production

Stop writing ETL scripts.
Start building AI.

Join developers who are using Vector Data Loader to power their RAG applications with real-time, synced data from Confluence, Drive, and the Web.

No credit card required for Hobby plan.

250 free credits/month • No credit card required

Vector Data Loader | Load Documents Into Vector Stores for RAG | Vector Data Loader