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VecDB is a managed API for vectors designed to enable developers and data scientists to quickly and easily build production-grade vector-based applications at critical scales. Create, store, manipulate, …

Below, we use an example of vector search where an individual searches for an SKU. However, the search results encode the letters and fail to realize/return the right SKU. We also attach a code …

Relevance AI's mission is to accelerate the development of artificial intelligence products using vectors. We see vectors as a technology that will change the future so we want to make using vectors as …

Create predictions from your dataset VecDB allows you to run predictions straight from the dataset. Currenltly, there are a few prediction tasks that are implemented: KNN Regression

First - let us encode and retrieve a vector back. To encode an image or text, you can use our API below and play around with these yourself. If you are interested in understanding more about them, we …

Datasets in VecDB are known in other applications as tables or collections.

A task could be any write action that occurs in a document (e.g. encoding, editing, preprocessing, etc.) There are 2 main ways to run workflows:

Project Overview Each project will have multiple datasets PreviousCombine keyword search with vector searchNextBest Practice With Project Management Last updated 4 ...

For developers that prefer to dig straight into the references of available API and SDK methods, visit the below urls: