Skip to main content

Introduction

RocketRide is a powerful, flexible platform for building custom data processing pipelines. By combining a series of modular components, or Nodes, you can create sophisticated workflows to handle everything from data ingestion and transformation to analysis and storage.

This documentation is your guide to understanding and mastering RocketRide.

How This Documentation is Organized​

Our documentation is structured to help you find the information you need quickly:

  • Examples: Explore pre-built pipelines and common use cases. This is a great place to see what's possible with RocketRide and get inspiration for your own projects.

  • Nodes: Dive deep into the core components of the platform. This section contains detailed information on every available node—from Source and Embedding to LLM and Store—and explains how to configure them for your pipelines.

  • MCP Server: Learn about the RocketRide Model Context Protocol (MCP) Server, which allows you to access your DTC pipelines as tools within MCP-compatible AI clients like Claude, Cursor, and Windsurf.

  • API Documentation: Access the complete API reference. Use this for programmatic interaction and integration with RocketRide.

Let's start building.