Building An LLM-Powered Chatbot With Streamlit On Snowflake Data

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In this video, Joshua Carroll, Product Manager at Snowflake, and Caroline Frasca, Developer Experience Manager at Snowflake, show you how to build an LLM-powered chatbot using Streamlit, OpenAI, and data within Snowflake. The chatbot will be able to translate natural language input and write SQL queries that it will execute against data stored in Snowflake.

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Комментарии
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I watched the video with great interest and actually implemented frosty myself.
Thanks.

junehur
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This is super cool. Thanks for sharing this! 👍🏻

thedinoriders
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Informative session ..thanks for sharing guys ..

suchi...
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I think there are some compatibilities problems regarding OpenAI recent updated version. MY streamlit doesn't recognize the modulo. Which version of open ai are you using on the video, please? Nice work

ciropaiva
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Thanks for this. My question would be - is this possible for the streamlit feature that "lives" inside snowflake beside the data?

pythontok
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How do we build this for multiple tables in same database?

pushpak
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How can we use this with Azure OPEN AI . it always throws some errors with Azure OPEN AI . do you have any reference doc to use it with the Azure OPEN AI

brag
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Is there a way to link it with my databases not the marketplace?

abdulellahz
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is this take voice also ? i saw you ask question also instead of type ?

ujjawalsinha