Connect external data to AI apps in minutes
The fastest way to connect retrieval engine for LLMs to access external data.
Connect any data with one API call
Give us website URL, Notion doc, Slack channel, any file — we'll do the rest.
1. Ingestion
Connect any data source: website, Google Drive file, Notion doc, etc.
2. Processing
Parsing, chunking, cleaning, embedding — all built-in.
3. Store & Sync
Built-in managed vector database and scheduled syncing of data.
Retrieve relevant data instantly
Get relevant snippets from all your connected sources — websites, files, and beyond.
Unified search across all your data
Immediate results you can pipe straight into LLM
Join our Discord and shape our Roadmap
Zero setup, zero headaches vector database
Stop wrestling with infrastructure. We host and maintain your vector database at raw cost.
Fair price. No markups.
With RAG engine you pay what you would if you did everything yourself—minus the headaches. See how it compares:
| Do it yourself | RAG Engine | |
|---|---|---|
| Vector database | $4/mo DigitalOcean Droplet | $4/mo same price, no markup |
| Embedding Usage | $0.010–$0.065 per 1M tokens OpenAI | $0.010–$0.065 per 1M tokens same price, no markup |
| Setup, maintenance & development | Time, effort, missed profit | Included in our $4.99/mo service |
Join waitlist and get early access
The first 5 people on the waitlist get RAG Engine free for life (excluding droplet & embeddings).
Invite friends to move up the list
FAQs
Do I need to manage any infrastructure on my own?
Absolutely not. We host everything from the ingestion pipeline to the vector database. You just make a couple of API calls.
How does pricing work exactly?
- RAG Engine Fee: $4.99/month (first month free). This covers our ingestion pipeline and unified search.
- Vector Database: Starting at $4/month for a DigitalOcean droplet (512 MB RAM, 10 GB SSD). Larger datasets require more resources, but it’s always at-cost with no markup.
- Embeddings: We pass along the exact OpenAI rates ($0.010 to $0.065 per 1M tokens), so no extra fees here either.
What happens if my usage grows? How do costs scale?
If you need more storage than the default 512MB droplet, we’ll simply scale your hosting to a higher-tier instance—still billed at cost.
Which data sources will you support?
In first version we’re working on supporting website URLs and different file formats. But we plan to add more integrations for Notion, Google Docs, etc. Tell us what you need, and we’ll make it happen.
I have more questions
Our Discord channel is the perfect place to ask questions and share your use cases.