Redis Beyond Caching: From Documents to Vectors and Natural Language APIs

Redis is no longer just a caching layer — and this session is here to prove it.

Join us for a deep dive into Redis’ modern capabilities as a powerful, real-time data platform. We’ll show you how Redis functions as a high-performance document store with advanced search and indexing through RediSearch, and how it’s emerging as a go-to vector database for cutting-edge AI use cases.

This session is packed with live demos and real-world examples — including an AI-powered solution that interacts with any OpenAPI specification using natural language. No UI, no code. Just type, and let Redis + LLMs + RAG do the magic.

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### What you’ll learn:

• How to use Redis as a document store and search engine
• Implementing secondary indexing, multi-field matching, pagination, and aggregations with RediSearch
• Why Redis is a strong choice as a vector database for AI-native workloads
• How to build natural language API interactions using Redis, OpenAPI, LLMs, and Azure
• Auto-discovery, payload generation, chaining workflows — all powered by Redis

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And hey — we’re keeping things fun too!
Don’t miss the Redis Quiz at the event. It’s fast, competitive, and full of exciting Redis goodies up for grabs.

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### About the Speakers

Suyog Kale
Solution Architect Manager, Redis India | Organizer, Pune Developers Community (PDC)
Suyog helps companies build high-performance applications with Redis. In this session, he’ll walk you through practical demos of Redis as a document and search database using RediSearch.

Ravi Joshi
Technologist Architect
Ravi explores the evolving intersection of AI and backend systems. He’ll present Redis as a vector database and demo an AI application that allows natural language interaction with APIs — powered by Redis, LLMs, RAG, and NLP, hosted on Azure.

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If you’re building modern apps, AI workflows, or advanced search systems — this session is for you.

Venue sponsored by: Securly software (india) pvt ltd