Pydantic AI + MCP + Advanced Web Scraping = The Key To Powerful Agentic AI
AI Summary
This video tutorial demonstrates how to create a multi-agent chatbot using Pantic AI and advanced web scraping. Key highlights include:
- mCP Framework: Adopted as an open standard for service providers, allowing integration of APIs without the need to reinvent functionalities.
- Deep Seek V3: A new open-source model featuring 671 billion parameters, trained within 2.78 million GPU hours at a cost of approximately $5.57 million, showcasing efficiency and high performance.
- Chatbot Demonstration: The chatbot can answer queries like finding the latest AI news and creating visualizations.
- Tools Utilized:
- Python Tools: Executes code safely and visualizes data.
- Web Search Tool: Utilizes EXA API for search results, returning answers in markdown format.
- Setup Process: Instructions for installing necessary Python libraries and configuring the environment for code execution.
- Flexibility and Scalability: mCP promotes a new paradigm in building AI-driven applications by effectively separating models, context, and protocols for more maintainable solutions.
This tutorial emphasizes the potential of mCP and its efficient architecture to drive innovation in AI.