Overview
Learn to develop a sophisticated Multi-AI Agent Application using Python, RAG (Retrieval Augmented Generation), and Langflow in this comprehensive tutorial video. Master the process of setting up Langflow, implementing RAG agents, integrating multiple AI agents with specialized tools, and creating a customer support system. Explore practical implementations including project setup, RAG data integration, order and product lookup functionality, API deployment, and Streamlit frontend development. Access hands-on guidance with provided GitHub resources, sample data, and DataStax Langflow integration tools. Discover advanced concepts like RAG result weighting to enhance retrieval accuracy and overall system performance. Perfect for developers looking to build practical AI applications with modern tools and frameworks.
Syllabus
| AI Agent App
| Project Demo
| LangFlow Setup
| Building a RAG Agent
| Adding RAG Data
| Adding Multi-Agents & Tools
| Adding Sample Data
| Order & Product Lookup Agent
| Running the Agent via API
| Streamlit Frontend
| Weighing RAG Results
Taught by
Tech With Tim