The Ultimate Tool for AI Development
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Rivet is a desktop application designed for creating complex AI agents and performing prompt chaining, allowing seamless integration into your application.
Getting Started with Rivet
Rivet equips you with powerful capabilities that simplify the creation and management of AI applications. To help you get started, we’ll guide you through the basic setup process.
1. Prebuilt Binaries
To download the latest versions of Rivet for various operating systems, choose from the following options:
2. Running from Source
If you prefer to build Rivet from the source, please refer to the CONTRIBUTING.md file for instructions.
Understanding Rivet’s Structure
Imagine you are building a complex city. The buildings represent AI agents, and the roads are the connections (prompt chaining) between them. Rivet provides you all the resources to design this intricate structure. The flexible architecture lets you not only build agents (the buildings) but also define how they interact with each other (the roads).
Rivet Core
The Rivet core is a TypeScript library specifically for running graphs created in Rivet. It allows an interplay between Rivet and your custom applications, just as city planners must coordinate with local zoning laws to ensure their designs can be realized in the surrounding environment.
Rivet core can be found on NPM as @ironclad/rivet-core and @ironclad/rivet-node. You can find documentation on each at the Rivet website.
Contributing to Rivet
We encourage every kind of contribution, from code to documentation and user feedback. Check out the CONTRIBUTING.md for details on setting up your development environment and other valuable information.
Troubleshooting
If you encounter any issues while using the Rivet application or when integrating it into your code, the first step is to check the Issues page for existing problems. If your issue isn’t listed, feel free to open a new one!
For general questions or discussions, you can visit our discussions or chat with us on the Rivet Discord server for real-time support.
For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.
Final Thoughts
At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.