PhiData - How to Seamlessly Integrate AI into Your Application

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AI Summary

Summary of FI Data Toolkit Features

1. Introduction to FI Data
   • Toolkit for building AI assistants with function calling.
   • Integrates with applications, processes user requests, and returns results.
   • Can store information, such as querying databases.
2. Setup Instructions
   • Subscribe to the YouTube channel for AI content.
   • Installation steps using conda and pip.
   • Export OpenAI API key.
   • Install additional packages and tools.
3. Creating an Assistant
   • Import Assistant from f.assistant.
   • Define assistant’s purpose (e.g., health and fitness).
   • Run assistant to get responses in Markdown format.
4. Adding Function Calling with DuckDuckGo
   • Import DuckDuckGo from F.tools.
   • Create assistant with DuckDuckGo tool for AI news search.
   • Debug with show_tool_calls.
5. Creating Custom Functions
   • Import yFinance and toolkits.
   • Define custom class StockPriceTool with a stock price function.
   • Integrate custom function with assistant.
6. Querying Movie Database with DuckDB
   • Import Json and DuckDB.
   • Create DuckDB assistant with a semantic model for movies.
   • Analyze and query movie database.
7. Python Assistant for Code Execution
   • Import PythonAssistant and CSV file.
   • Create Python assistant to run code and execute tasks.
   • Calculate average movie rating.
8. Implementing Storage with PostgreSQL
   • Install PostgreSQL and PG Vector.
   • Create database, role, and enable PG Vector extension.
   • Define Wikipedia knowledge base and connect to PostgreSQL.
9. Asking Questions with Knowledge Base
   • Load knowledge base and ask questions with context.
10. Ollama Integration
    • Import Ollama.
    • Loop through models and ask identity questions.
11. Creating Tasks for AI Agents
    • Assign tasks like generating themes and stories to the assistant.
12. Additional Tools and Knowledge Bases
    • Mention of various tools (e.g., Python, file, shell) and knowledge bases (e.g., archive, docs, JSON, PDF, website, Wikipedia).
    • Integration by calling functions.
13. Conclusion
    • Encouragement to like, share, and subscribe for more videos.
    • Anticipation for future enhancements with FI Data.