You can use RelevanceAI with Azure OpenAI. This guide explains basic set up.

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Although no-code tools have democratized access for non-technical users, we recognize that a more nuanced approach is needed – one that caters to both technical and non-technical users alike.

RelevanceAI is utilizing DSPy for programming Large Langauge Models leading to 50% reduction in agent production time.

Intro to agents and the changing landscape today. Also, a guide on how to build production AI agents with proper evals,

We firmly believe that an AI agent, like a team-mate, is only as good as the training and knowledge-sharing it receives. As such, having a world-class RAG implementation is key to our vision of enabling every business to employ an AI Agent one day.

It’s human nature to personify, it’s even more appealing when it comes to AI age

A look at what a prompt engineer does by our very own Henry Badgery. The journey into the field, the process, and the skills required.

What's the difference and why it matters.

I talk to business leaders every day about onboarding their first AI agents, which often yields unique insights about their challenges with scaling and implementing AI functionality. One of the most interesting data points are the objections that they raise, which are often very valid.

The Anatomy of an AI Agent

Beyond Co-pilot: scaling with an AI Workforce

In June 2024, Relevance partnered with Build Club in a global hackathon, where AI builders across the world spent 24 hours building a real solution to a real problem using AI platforms. In this showcase, we share the amazing things our hackathon participants built with Relevance AI during the competition.

Relevance AI is on a mission to enable teams to be limited only by their ideas, not their size. We're building a best-in-class platform for companies to build an AI Workforce.

An introduction to getting started with AI Chaining and our Notebook editor in Relevance AI.