Скачать или смотреть Fast AI on JSON Using OpenAI to Build a Real Time Recommendation Engine

Join us while Akmal Chaudri, Senior Technical Evangelist ‪@SingleStore‬, leads us through a hands-on session on how to build a real-time conversational AI recommendation engine using OpenAI and ChatGPT.

For this session, we will be utilizing JSON data within MongoDB® and will use SingleStore Kai™ to do semantic search and fast analytics to power a real-time recommendation engine.

We will look at how to create vector embeddings using the OpenAI LLM and then do semantic search and recommendations based on the data in real-time.

As part of this session, we will also look at a side-by-side comparison of the JSON analytics performance between MongoDB® and SingleStoreDB on the same dataset using the exact same MongoDB® commands.

This event is perfect for application developers, architects, data analysts, and anyone interested in building interactive applications utilizing JSON data.

What you’ll learn:

How to use OpenAI vector embeddings to do semantic search on JSON data in order to build a real-time conversational AI and recommendation engine

Discover SingleStoreDB’s native support for vector functions to power semantic search and Generative AI with simple SQL queries

How to analyze JSON data within MongoDB ultra fast using SingleStore Kai™ (MongoDB® API) without any query changes

How to do complex analytics on JSON to build a “conversational AI” recommendation engine that you can speak to.

Be sure to sign up for SingleStore today and claim your free $600 credit! (By clicking on the below Free Trial link)

https://bit.ly/singlestore-cloud-free...