In this 90 minute hands-on workshop, we'll learn how to build a multimodal GenAI app that recommends products from scratch. By the end of the workshop, you'll have built a clone of Fashion Buddy, an application that lets people search for apparel recommendations based on an uploaded photo.

We’ll build the app in Python and use RAG (retrieval augmented generation) with LangChain, Google’s Gemini LLM (large language model), and vector search with Astra DB.

Throughout the 90-minute workshop, all attendees will learn:

What is RAG and how does it work with LangChain and vector search?

How to ingest + vectorize data from CSV file into Astra DB

How to use LangChain for ingestion, embedding, and prompt retrieval

How to deploy a user interface with Streamlit to take image uploads and return similar results

Can't join us live? Register anyway, and watch the recording at a more convenient time. 

Build a Multimodal GenAI App with LangChain and Gemini LLMs