Relevance AI

Developer-first vector platform

Relevance AI's mission is to accelerate developers to solve similarity and relevance problems through data. Our first step towards helping teams solve similarity and relevance, we started with the data type that all the top tech companies use - Vectors, a high dimensional representation of data used to determine similarities between data.

Getting started

To get started quickly with Relevance AI in 5 lines of code

Example applications guides

Want to quickly create some applications with Relevance AI? Check out some guides below!

New to vectors?

Experimentation-first vector platform

In the vector workflow to solve search and relevance problems, we decided to focus heavily on the foundation of all good solutions - the experimentation stage. Our experimentation-first approach help users experiment, tune and prototype various vector weightings, configurations, data structures and vector search methods to improve their vectors. For a more in-depth exploration and comparison take a look at our article on experimentation-first vector database.

Checkout the features section to get a full list of Relevance AI features and benefits.


Free for individual use

Sign up for your free, no credit card required!

Some similarity and relevance based problems that can be solved with vectors:

  • Semantic & unstructured data search
  • Recommendation Systems
  • Data deduplication & matching
  • Topic modelling
  • User clustering
  • Zero shot classification
  • K-nearest neighbors similarity based regression
  • Semantic Operation
  • and many more

Data Privacy Policy

You own any data you upload to Relevance AI.

Everything you upload to Relevance AI is yours, including any vectors, code, configuration, metadata, output metrics, search results, visualisations and model weights. You can choose to log, export, publish, or delete any of these. We collect aggregate statistics across our users to improve our productβ€” we might do a database query to count how many users have used a specific endpoint to help decide if we want to improve our support for that endpoint. We treat your private data, source code, or trade secrets as confidential and private, as consistent with our Terms of Service and Privacy Policy.β€Œ"

You can read more about our data security policy here.


If you require any support or would love to give us feedback, please visit our support page here!

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