AutoGen + LangChian + SQLite + Schema Function = Super SQL Chabot

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AI Summary

• Introduction to building AI chatbots

  • Utilizes Autogen, Lang Chain, SQLite, and function schema
  • Offers code for quick start and customization

• Encouragement to follow and subscribe for AI updates

• Background Information

  • SQLite: Popular, open-source, serverless database management system
  • Function Calling Schema: Describes functions for GP4 APIs, allowing model to execute function calls

• Coding Process

  • Steps to run SQL commands from Autogen
  • Use Lang Chain for easier SQL handling
  • Function calling with Lang Chain’s agent toolkit
  • SQLite chosen for simplicity, other databases also compatible

• Setting Up the Environment

  • Create a new Python project with a virtual environment
  • Install required dependencies

• Database Creation

  • Create a simple bookstore database with tables for books, authors, and publishers
  • Insert sample data and establish relationships between tables

• Lang Chain Integration

  • Load database using Lang Chain’s SQL database toolkit
  • Create function calling schema for toolkit
  • Set up config list for Autogen with timeout settings

• Creating and Using AI Agents

  • Create an agent and manage multiple conversations
  • Register function map and start conversation with chatbot
  • Example query: Count books in the database

• Conclusion

  • Function calling enhances SQL management
  • Useful for non-engineers
  • Links provided for further reading

• Call to Action

  • Encourages likes, subscriptions, and engagement in comments
  • Emphasizes continuous learning and curiosity