A brief overview of the required steps for getting from data to insights is explained on this page. Everything can be done directly on your dashboard on Relevance AI or if you are into Python programming, you can use our fully guided SDK.
To be able to access Relevance AI's services you need to sign up at Relevance AI. Sign up is free and gives you access to the full platform.
After signing up, under Datasets tab, you can create a new dataset to upload your data to it.
Data can be in CSV or Json format. Click on new Dataset and follow the prompt messages which guide you through the process.
To be able to use the magic of AI, you need to vectorize your desired field(s) in the dataset. Simply follow the no-code vectorize workflow and you can view the new field(s) that get added to your dataset under Dataset/Monitor. Read more about vectors at What are vectors.
Using vectors and analysing data can be done through clustering, sub-clustering, dimensionality reduction, etc. The ready-to-use workflows are accessible under Workflows on the dashboard. The following image shows a clustering setup that groups data points based on their conceptual similarities.
Relevance AI provides you with various apps to better understand your data. These apps are accessible under Apps on the dashboard. They are configurable which provides you with the flexibility to set up each app based on your needs and interests. The following image shows a clustering app on Tweets posted by Disney.
To better understand Relevance AI's dashboard and its components please visit guides on
Updated 7 days ago