Once I switched to using Xpress AI's Vecto APIs, we were able to implement the app in just two weekends!
This tutorial demonstrates constructing a vector search toolbar using Python and Vecto SDK, followed by a command line search using our documentation.
This tutorial teaches how to build a recommendation system, from data setup and smart search to advanced techniques like analogies and prompt injection.
This tutorial introduces Vecto, a vector database, covering Vector Space setup and data ingestion in a Jupyter notebook. It focuses on the VectorSpace class in the Python SDK, with advanced Vecto class content in the next tutorial.
Custom actions allow you to include AI training and validation into your CI/CD pipeline.
Deploy your app right into your customer's slack or teams servers easily with an agent that can act intelligently with natural prompts.
Onboard your agents to your customers in a way that ensures no data leakage.
Allow your app to create documents and reports directly in Google Drive or Sharepoint.
Make your app react intelligently to real time events.
Yes, use the free tier too develop and validate your app. If you need it we’ll provide you with a free, personalized 30-minute onboarding call to get you up and running as soon as possible.
Get going for free
Cheaper than an hour of work.
Everything in our free plan plus...
Customized to match your scale and needs.
Everything in our Business plan plus...