Building Production-Ready Agentic RAG Systems with LangChain

​Join us on April 2 at 5:30 PM for an in-depth, practitioner-focused workshop led by Vijay Selvaraj, exploring how to build production-grade Agentic RAG (Retrieval-Augmented Generation) systems using LangChain. This 2.5-hour session is tailored for experienced developers, software architects, and AI engineers transitioning from traditional SaaS architectures to scalable, AI-native applications.

​What You’ll Learn:

• ​Key architectural differences between conventional SaaS systems and Agentic RAG frameworks

• ​Best practices for deploying LangChain-powered agents in real-world production environments

• ​Strategies for managing unstructured data, optimizing retrieval pipelines, and handling state across multi-turn conversations

• ​Techniques for managing latency, ensuring observability, and evaluating agent performance in complex deployments

​Workshop Format:

​30 min – Kickoff & Overview

• ​SaaS vs. Agentic RAG: What changes and why it matters

• ​Designing for reliability, traceability, and adaptability

• ​Common development pitfalls and how to overcome them

​2 hours – Interactive Deep Dive & Problem-Solving

• ​Share your toughest implementation challenges

• ​Collaborate with other advanced practitioners

• ​Walk away with insights and solutions you can apply immediately

​Whether you're integrating AI into existing workflows or building from scratch, this hands-on LangChain workshop is designed to level up your understanding of Agentic RAG systems and accelerate your path to production.

​Hosted at General Lithium HQ | 1338 Mission St, San Francisco
Free with RSVP | Limited spots available