We just released a production ready RAG project-template for Bult.ai.

If you want to deploy a serious Retrieval Augmented Generation system, not a toy demo, this is for you.

We support flexible compute sizing in Bult.ai so apps only use what they actually need.

XS to XL sizes cover everything from prototypes to databases, with per-minute billing and the ability to resize anytime from the Canvas UI.
Compute options:
XS: 0.1 vCPU, 256 MB RAM, $2.7 per month. Ideal for prototypes
S: 0.25 vCPU, 512 MB RAM, $5.4 per month. Suitable for small apps
M: 0.5 vCPU, 1 GB RAM, $12 per month. Designed for web applications
L: 1 vCPU, 2 GB RAM, $24 per month. A good fit for APIs
XL: 2 vCPU, 4 GB RAM, $48 per month. Optimized for databases

Custom sizes are also available for advanced workloads available on request.
Happy to answer questions about sizing or use cases.

Users can now get instant answers to questions about the platform and documentation at any time. The AI assistant is available 24/7 and helps developers onboard faster, resolve issues quickly, and understand how to use Bult.ai more effectively.

More improvements to our support experience are on the way.

We just shipped Backups in Bult.ai
You can now protect your data with built-in backup management:
Enable or disable automatic backups
Choose flexible schedules from hourly to biweekly
Create backups manually when needed
Download, restore, or delete backups

Backups are created while the service is running.

Vibe coding is about moving fast from idea to production without getting stuck on infrastructure.

A simple stack that works well:

• Frontend and Backend: @Google Antigravity, @Cursor, @Claude Code

• Databases and RAG: @Pinecone

• Cloud and DevOps: Bult.ai

• LLMs: @OpenAI, @Google Gemini, @Hugging Face, @Ollama

Bult.ai handles deployment, infrastructure, SSL, domains, scaling, and CI CD, so you can focus on building the product, not managing servers.

Every project on Bult.ai gets a ready to use public URL that works instantly, for example
https://blog.fin1.bult.app

You can also attach your own custom domain directly in the platform and expose services with branded URLs like blog.com.

Bult.ai lets you deploy production-ready databases with automated backups and monitoring directly from the Canvas UI using built-in templates or custom images.

Supported out of the box:
PostgreSQL
MySQL
Redis for caching and queues
MongoDB
500+ additional databases available from Docker Hub

Example: Deploy PostgreSQL
Select the PostgreSQL template
Choose compute size and volume
Click Create and get a ready-to-use connection string

No manual server setup. No DevOps overhead.
Databases ready in minutes.

We support most popular languages and frameworks on Bult.ai with either 1-click templates or custom configs.

Node.js, Python, Go, Java, Rust, PHP, Ruby, modern JS frameworks, and more.

We ve added clear volume usage metrics to give teams better visibility into storage consumption over time.
You can track:
Date and time
Total capacity
Available storage
Actual usage
This helps teams monitor growth, plan capacity, and avoid surprises as applications scale.
More observability improvements coming soon.

We ve improved change tracking in Bult.ai with a Canvas view.

You can now see all uncommitted changes in one place, review what s about to be deployed, approve or discard changes, and roll back when needed. It makes fast iteration safer and deployments more predictable.