Building Agentic RAG Applications

RAG (Retrieval-Augmented Generation) has become a go-to approach for grounding LLMs with reliable, domain-specific knowledge, but scaling these systems for production use is no small feat. In this hands-on session, we’ll walk through how to structure RAG applications for reliability and scale, share best practices for orchestrating multi-step agent workflows with retrieval, and demonstrate how to integrate real-time databases like SingleStore for faster queries and richer context. The session will culminate in a live walkthrough of building a fully working RAG application.

Key Takeaways:

• How to structure RAG applications for reliability and scale
• Best practices for orchestrating multi-step agent workflows with retrieval
• How to integrate real-time databases like SingleStore for faster context and data queries
• A live walkthrough of building a working RAG application example

Prerequisites:

Participants need to have a free SingleStore account to carry out the tutorial along with me

They can sign up to SingleStore using my link: https://bit.ly/SingleStore-Account-Free

Pavan is a technology evangelist and an author. He has written over 100 articles on AI and other technical topics on various tech publications.

He is also a speaker who talks regularly on the topics related to GenAI. He is a LinkedIn top voice and currently working at SingleStore as a technology evangelist.