𝗛𝗼𝘄 𝘁𝗼 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗖𝘂𝘀𝘁𝗼𝗺 𝗚𝗣𝗧 𝘁𝗼 𝗹𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝘄𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀. 𝗦𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗴𝘂𝗶𝗱𝗲.

In this video I demonstrate the capabilities of a Custom GPT connected to a live data warehouse....connected simultaneously to AWS RDS MySQL and Azure MySQL. I also show how to build one step-by-step, including all the code, the GitHub repository, and the Custom Function OpenAPI Schema.

# Link to Github Repo : Refer to detailed medium article for further explanations

### Link to ChatFlow Template and Tool Template
I have also exported and shared JSON files of ** ChatFlow Template and Tool Template **. You can simply import those into Flowise for a quick start. They are also available on my GitHub Link above.

# What's covered in the guide:
☀ Analytics Assistant CustomGPT : How it works - Architecture and Process Flow
☀ Implementation: Step 1 - FastAPI Server - Code
☀ Implementation: Step 2 - FastAPI Server - Deploy
☀ Implementation: Step 3 - Custom GPT: Setup Custom Function 
☀ Data Warehouse - Azure - AWS - Others
☀ Additional Consideration: Security, Monitoring, Tracing, Feedback
☀ Cost Considerations
☀ Resources

# Link to the first Analytics Assistant LLM App : Capabilities, Architecture, Cost

# Link to the second Analytics Assistant LLM App : Step-by-Step Implementation Guide

# For Flowise AI, Leon Van Zyl's Videos are simply brilliant. Links below