Building A Retrieval-Augmented Generation (RAG) Application Using Snowflake Cortex

[@Praveen_Kumar_R_CBE]

very good demo, thanks for sharing your knowledge

[@KnowledgeAmplifier1]

Glad you enjoyed it!

[@Foodiecausehungry]

Which video are you reffering to can you tell me or provide me the name ? Please🥺

[@KnowledgeAmplifier1]

All the prerequisite videos are available in the description section @Foodiecausehungry

[@Foodiecausehungry]

Hey Brother can you also create a small tutorial like this using "Cortex Search Service" please?🥺

[@satishkumaranamala2861]

"Thank you for your detailed explanation. I appreciate your efforts, and I would like to hear more details if possible. And suggest us how can we communicate with you.. I want to talk..

[@venugopal-nc3nz]

Will u recommend learning snowflake or databricks ?

[@KnowledgeAmplifier1]

@venugopal-nc3nz, both Snowflake and Databricks have their strengths, and the choice depends on your specific use case. If you're someone who enjoys working with SQL and wants a platform that simplifies data management, Snowflake is a fantastic option. It's incredibly easy to use, and with Snowflake’s latest additions (Snowpark), even those familiar with PySpark will find it versatile. Plus, if you're diving into machine learning or LLMs, Snowflake allows you to do this directly with SQL using Snowflake Cortex functions-no need for complex setups, making the process much smoother. So personally I have preference on Snowflake ..

[@venugopal-nc3nz]

@@KnowledgeAmplifier1 Thanks for helping me out