Build AI Apps that can interact with anything
No more file restrictions and complicated templates. Easily integrate LLMs like ChatGPT with vector databases, PDF OCR and more.
Customize every detail with chains
Chain prompts and transformations to build tailor-made AI experiences, from templates to adaptive chains.
Unique LLM-first features
Prevent hallucinations and save money through our unique LLM features such as quality control, semantic cache and more.
No model vendor lock-in
Switch between top LLM providers like OpenAI, Cohere, and Anthropic.
Fully managed service
We take care of your infrastructure management, hosting, and scaling.
Run AI apps with
templates made in Relevance AI
đź”® Document AI
Turn PDF into a table. Search your data in your document with your own queries.
112
✍️ Blog generator
Generate a high-quality blog post for any topic with AI, in just a few seconds.
Jeffrey Yao
89
🔍 Web QA
Powered by google search and LLMs.
Build
Build AI apps and chains with our low-code builder.
Test
Test and iterate on your apps via our shareable app + Notebook cell execution.
Deploy
Deploy to a hosted, scalable & secure App, Widget or API.
Don’t take our word for it. Trust our customers.
“Relevance AI allowed us to quickly deliver production-quality AI Apps that our 10k+ customers love and have used over 3 million+ times.”
Founder
Skedsocial
“Relevance AI has allowed our app developers to create automations that our millions of users love. We have seen apps with 200% more engagement.“
Overwolf
“Relevance AI has been amazing in providing a solution that raises the accessibility of AI!”
Redis
“Relevance AI allowed us to analyse and play back our data within the hour. Now our clients can get better insights from unstructured data, way faster.”
Director of market research
Fortune 500, Retail
“With Relevance AI, we just ask questions and the AI agent sifts through our 100+ docs and give an answer in under 20 seconds, saving 3+ hour each time.“
GM of Data Science
Listed construction company
“Relevance AI allowed us to quickly build and deploy internal AI chains as shareable apps, that can be easily consumed by our whole team. Saving time across the board.”
Customer Insights Lead
Listed retail company
Why Relevance AI
A drop in upgrade for OpenAI, with no vendor lock-in
Features
Supports GPT
Supports multiple LLM providers
Detailed monitoring
Version control
Streamlined collaboration
From Prompt to Chains & Agents
Notebook experience
Quality control
FAQ
Build powerful automation today
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.
An AI Workforce is a digital team you can hire to assist you in completing mundane and repetitive tasks. An AI Workforce consists of Agents equipped with Tools specific to your business operations crafted by domain experts. With Relevance, you will have the home of the AI Workforce with a single platform to create your Tools, equip them to Agents and deploy it to your organisation as a Multi-Agent System (MAS).
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.
How can I deploy my first AI app?
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.
How does Relevance AI protect my privacy
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.