
Tony Kelly

Michael Sullivan
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What you’ll do:
In this 60 minute hands on lab you will use Fivetran to sync a a custom, structured dataset that includes data from from a CRM solution like Salesforce, an issue and project tracking solution like Jira and a customer service and support platform such as Zendesk.
Transform the new dataset in Databricks (concatenation and vector table creation for embeddings) and use Databricks LLM functions to build Retrieval Augmented Generation (RAG) into your application (RAG combines an LLM with enterprise data).
Create a Databricks RAG-based, GenAI application - an Enterprise Quarterly Business Review (QBR) Generator that uses Databricks LLMs to produce a QBR detailed report.

Tony Kelly

Michael Sullivan

Tony Kelly

Michael Sullivan
.png)
What you’ll do:
In this 60 minute hands on lab you will use Fivetran to sync a a custom, structured dataset that includes data from from a CRM solution like Salesforce, an issue and project tracking solution like Jira and a customer service and support platform such as Zendesk.
Transform the new dataset in Databricks (concatenation and vector table creation for embeddings) and use Databricks LLM functions to build Retrieval Augmented Generation (RAG) into your application (RAG combines an LLM with enterprise data).
Create a Databricks RAG-based, GenAI application - an Enterprise Quarterly Business Review (QBR) Generator that uses Databricks LLMs to produce a QBR detailed report.