Description:

This talk will delve into the advanced applications of Generative AI (GenAI) beyond traditional chat interfaces by leveraging Retrieval Augmented Generation (RAG). We will explore how RAG integrates external knowledge sources, including knowledge graphs, to enhance AI's capabilities. Additionally, we'll demonstrate practical implementations using Python, showcasing how these technologies can be applied in real-world scenarios for improved information retrieval, accuracy, and contextual understanding.

Details for the Talk

1. Introduction
2. Understanding RAG
3. Practical Applications and Use Cases
4. Technical Implementation with Python
5. Challenges and Future Directions

Prerequisites:

• Basic Understanding of Python

Speaker Info:

Harshit Nariya - Member of Technical Staff @ Lyzr.ai