Your Knowledge Base,
Vector-Ready in Minutes
Connect Confluence, Google Drive, GitHub, Azure, GCS, and more to Pinecone, pgvector, or Qdrant. Structure-aware chunking. Automatic re-sync. Zero ETL code.
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See It in Action
Explore the real interface. Click the sidebar tabs to switch between views.
Command Center
Real-time operations overview
From Raw Data to Vector Search
A complete pipeline designed for production RAG — without writing a single ETL script.
Connect Any Source to Any Store
Authenticate once with OAuth — we handle rate limits, pagination, and file parsing. Your documents flow directly into your vector database.
Smart Chunking
Structure-aware
Recursive splitting that preserves document hierarchy. Not just by character count.
Auto-Sync Engine
Staleness detection
We detect changes in your sources and re-embed only what changed.
4 Embedding Providers
Plug in your preferred model
OpenAI, Cohere, Google Gemini, or self-hosted Ollama. Switch providers anytime without re-architecting your pipeline.
Built-in Playground
Test search instantly
Works With Your Entire Stack
Plug in your existing data sources, vector databases, and embedding providers. No lock-in, swap any piece at any time.
Start Free, Scale When Ready
250 free credits to get started — enough to sync ~12 documents. Buy more only when you need them. Purchased credits never expire.
- All source connectors
- All embedding providers
- All vector stores
- Project organization
- Built-in playground
- No credit card required
Need More Credits?
Purchased credits never expire
Buy a one-time package whenever you need to sync more documents. No subscription required.
Document sync costs 20 credits (~$0.20) · 250 free startup credits · Full pricing details
Stop writing ETL scripts.
Start building AI.
Join developers building production RAG applications with real-time, synced data from Confluence, Drive, and the Web.