RocketRide
High-performance AI pipeline engine with a C++ core and 50+ extensible nodes — build, debug and scale LLM workflows from your IDE.
Overview
Requirements
Recommended VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate disclosure
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
rocketride:
image: ghcr.io/rocketride-org/rocketride-engine:latest
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/rocketride:/data
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Guides & articles
How to Build Your First RAG Pipeline with RocketRide (Tutorial)
Step-by-step tutorial: install RocketRide with Docker, wire a RAG pipeline in the VS Code extension, trace every node, and drive it from the Python SDK.
RocketRide: The High-Performance Open-Source AI Pipeline Engine
Meet RocketRide — a C++-core AI pipeline engine with 50+ Python-extensible nodes, 13+ model providers, and 8+ vector databases. A full guide to its architecture, features, and self-hosting.