Pune Developer's Community

Join us for a deep dive into Redis' powerful capabilities that go far beyond caching! In this session, we’ll explore how Redis can function as a high-performance document store with advanced secondary indexing using RediSearch. Learn how to build sophisticated search experiences with support for partial and multi-field matching, pagination, and aggregations.
But we won't stop there—Redis is also making waves in the vector database space. Discover how Redis enables blazing-fast vector search and why it's a compelling choice for AI-native applications.
We’ll also showcase a cutting-edge demo where Redis powers an AI solution that consumes any OpenAPI specification. Users can interact with APIs using natural language—no code, no specialized UI. Just type your request and let the LLM + RAG pipeline take over.
Key highlights:

• Redis as a document and search engine
• Secondary indexing with RediSearch
• Aggregations, pagination, and multi-field matching
• Redis as a vector database
• Natural language access to OpenAPI endpoints
• Auto-discovery, payload generation, and chaining workflows
• Hosted AI solution using Redis, Azure, LLMs, and NLP services

Whether you're building modern search platforms, AI-driven apps, or just curious about the future of data interaction—this session is for you.

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### About the Speakers

Suyog Kale
Solution Architect Manager, Redis India | Organizer, Pune Developers Community (PDC)
Suyog leads solution architecture for Redis in India, helping organizations architect high-performance, real-time applications. As a passionate technologist and community leader, he will kick off the session with a hands-on walkthrough of Redis as a document and search database, showcasing practical demos on RediSearch features.
Ravi Joshi
Technologist Architect
Ravi is a seasoned technologist exploring the intersection of AI and backend systems. He will present the case for Redis as a vector database and demonstrate a revolutionary AI application that transforms how users interact with APIs—just type in natural language and let the system do the rest. His demo integrates Redis, LLMs, RAG, and NLP into a hosted solution running on Azure.

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