AI apps are built and powered by LLM chains. LLM chains enable us to combine multiple steps of Large Language Models like GPT with other transformations like document retrieval, vector search and API requests to build advanced functionality and features. These workflows can then be deployed as a single endpoint that receives an input, runs it through the steps of the chain and provides and output.

Chains enable building incredibly powerful Agents specific to your needs. Agents can be created from a single chain or multiple chains. Speak to our team to see an example.

Getting started is as simple as creating a free Relevance AI account and in our Chain Notebook starting from a blank slate or using a template. Once you're happy with the results running it in our Notebook, you can deploy it as a shareable app, embeddable form or an API endpoint.

We support OpenAI, Anthropic, Cohere, PaLM, and more. If you'd like to use a different provider, just let us know in our live chat and we'll add it to the list.

Chains are ephemeral by nature, which means we don't store your input or your output. Datasets are stored in our platform which is SOC 2 Type II compliant.