Fast AI on JSON: Using OpenAI to Build a Real-Time Recommendation Engine

Join us for 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 

Featured Speakers

Akmal Chaudhri - Senior Technical Evangelist, SingleStore