Build with Redis: From vectors to agents

The next generation of AI applications goes beyond powerful models—it’s about building fast, context-aware, and production-ready systems. Join us in Pune for a developer meetup where Redis experts will walk you through building intelligent AI applications powered by vector search, real-time memory, and agent orchestration.

Through live demos and real-world patterns, you’ll explore how Redis serves as a high-performance vector database for Retrieval-Augmented Generation (RAG), and how to build AI agents that can remember, think, and act—using LangGraph + Redis.

## What you’ll learn:

• How Redis works as a vector database for blazing-fast retrieval in RAG pipelines.
• Redis data structures—Vector Sets, Sorted Sets, JSON, and more—for powering AI at scale.
• Architectural patterns for building conversational AI, recommendation engines, and real-time analytics.
• How to build AI agents with memory using LangGraph and Redis—enabling reasoning and dynamic behaviour.
• Best practices for building real-time, production-grade AI systems.

## Who should attend:

• AI/ML Engineers building intelligent, responsive applications.
• Developers & Architects working on GenAI, search, or real-time infrastructure.
• Backend & Full-Stack Engineers exploring Redis’s AI capabilities.
• Builders curious about agent frameworks and retrieval-augmented generation.
• Anyone interested in scaling AI applications with Redis.

To participate, registration is mandatory at Redis dev meetup.