Rivet is an open-source visual programming environment for building AI agents with Large Language Models (LLM). Sandgarden is a modularized platform that enables product-driven businesses to rapidly prototype, iterate, and deploy their AI integrations.
Let's compare Rivet with Sandgarden, and see which option may work better for your business.
With Rivet developers can design, debug, and collaborate on LLM prompt graphs, and deploy them in their own environment. The tool’s graph-based approach helps teams quickly identify performance and reliability issues across a range of workflows.
As a prompt IDE, Rivet simplifies the iteration process and allows prompt engineers to work with software developers to build AI agents. Alongside this is Trivet, a testing library for programmatically running tests on Rivet projects, providing a way to validate the functionality of their graphs. In sum, Rivet helps businesses efficiently integrate performant and reliable AI powered workflows into their applications.
That said, Rivet is not without its drawbacks:
Sandgarden provides production-ready infrastructure by automatically crafting the pipeline of tools and processes needed to experiment with AI. This helps businesses move from test to production without figuring out how to deploy, monitor, and scale the stack.
With Sandgarden you get an enterprise AI runtime engine that lets you work with best of breed solutions. As new LLMs and standards are constantly emerging, users can easily swap out components for better alternatives. And while Sandgarden is enterprise ready, it’s also developer friendly, being freely available to try without going through a sales process.
While both Rivet and Sandgarden emphasize rapid testing, only with Sandgarden is every POC production ready. Whereas Rivet may not be appropriate for large-scale operations, Sandgarden readily scales from zero to massive-production with minimal overhead. And while some developers may find Rivet’s functionality cumbersome, Sandgarden automates away most manual tasks.
Both Sandgarden and Rivet help businesses integrate AI into their applications. Sandgarden specializes in modularized and rapid prototyping in an “already production-ready” way. The elimination of infrastructure overhead helps teams focus on innovation rather than technical complexities. Plus, with both self-hosted and on-premise deployment options, companies are always in complete control.
Rivet stands out as a prompt management and testing tool to help businesses quantify the performance of their AI agents. Yet with the need for manual workarounds and no seamless way to push projects into production, the value of tests are limited.
For any enterprise looking to generate tangible business value quickly, Sandgarden stands out for its ability to simplify and accelerate AI integration. With Sandgarden you can get back to doing what you do best - running your business - as opposed to being in the AI business.
To learn more about Sandgarden, visit sandgarden.com.
