Build a RAG Pipeline
In this guide we build a working example end to end. You can follow along with any language that supports HTTP calls to an OpenAI-compatible endpoint.
Hands-on example 🛠️
The example below is small but production-shaped: error handling, retries and a clean result. Adapt it to your own stack.
Quick reference
| Item | Details | Tip |
|---|---|---|
| Setup | Two-minute setup from the panel | Do this first |
| Usage | Token-based billing | Watch the logs |
| Support | Email + forum | We reply fast |
Common questions
Here are the questions people ask most often about this topic.
Frequently asked questions ❓
How long does rag pipeline take?
It depends on your setup, but most people finish in well under ten minutes with the steps above.
Do I need any special tools?
No. Anything that can make an HTTPS call works: curl, Python, Node.js or your favorite HTTP client.
Does this cost extra credits?
No more than a normal request. The techniques here are designed to keep your spend predictable.
Where can I get more help?
Check the forum or email support and we will point you in the right direction.
That tip about retries is gold.
This cleared up my confusion, bookmarked.
Helpful, sharing with my team.
Thanks for the kind words!
Nice follow-up to the previous post.
Very helpful walkthrough.