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How to Build an AI Chatbot for Retail
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Join DataStax and Amplience for a 45-minute livestream and learn to build an AI chatbot for retail!
Follow along as Ali Hanyaloglu, VP of Product Marketing at Amplience, and Aaron Ploetz, Developer Relations Engineer at DataStax, show you how to leverage large amounts of data to create an AI-driven shopping assistant. The duo will ingest product data with Langflow, and build a simple chat interface that conversationally finds products to add to your shopping cart!
In this session we will demonstrate how you can:
--Ingest a product data file
--Segment and embed data into vectors in Astra DB
--Use Langflow for ingestion, embedding, and prompt retrieval
--Bring it all together in a user-friendly AI chatbot
RESOURCES
About DataStax Developer:
Follow along as Ali Hanyaloglu, VP of Product Marketing at Amplience, and Aaron Ploetz, Developer Relations Engineer at DataStax, show you how to leverage large amounts of data to create an AI-driven shopping assistant. The duo will ingest product data with Langflow, and build a simple chat interface that conversationally finds products to add to your shopping cart!
In this session we will demonstrate how you can:
--Ingest a product data file
--Segment and embed data into vectors in Astra DB
--Use Langflow for ingestion, embedding, and prompt retrieval
--Bring it all together in a user-friendly AI chatbot
RESOURCES
About DataStax Developer:
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