Bangalore Streams In-Person meetup - May 2026

Hello Bengaluru👋
Join us for exciting discussions in the streaming world with opportunities to network with peers and leaders in the industry.

📅 When: May 30 2026 9:30am - 02:00pm
📌Where: Razorpay, Bengaluru
🗺Directions: https://maps.app.goo.gl/NzBW7ksNfcxUseef7 (Razorpay, SJR Cyber Laskar, Hosur Rd, Adugodi, Bengaluru, Karnataka 560030)

🎙️Talks:
Real-Time RAG: Can Retrieval Systems Keep Up with Streaming Data
Speaker: Lakshay Kumar, GenAI Lead @ Zato | Author of “from data to world” | Automating workflows
About the talk: Retrieval-Augmented Generation (RAG) has quickly become the default architecture for enterprise GenAI systems - but most RAG pipelines are fundamentally designed for static or batch-updated data.
What happens when the knowledge base itself is constantly changing?
In this talk, we’ll explore the emerging challenge of Real-Time RAG: building AI systems that can ingest, index, retrieve, and reason over continuously streaming data with low latency and high freshness guarantees.
Using practical architectures and production-inspired patterns, we’ll look at how streaming systems like Kafka enable continuously updating AI knowledge pipelines, and where traditional vector-search architectures begin to break under real-time workloads.
The session will cover:
* streaming ingestion for RAG systems
* incremental embeddings and vector updates
* balancing freshness vs retrieval quality
* event-driven AI architectures
* consistency challenges in distributed retrieval systems
* observability and operational concerns for live AI systems

Embedding Kafka at the Edge: SBCs, Dead Badgers & New Deployment Models
Speakers: Avinash Upadhyaya & Pavan Keshavamurthy, Platformatory
About the talk: Kafka powers event-driven systems everywhere—except many edge environments, where diverse protocols, resource limits, and distributed-system constraints create unique challenges. This talk explores what Kafka at the edge should look like: new architectures, deployment models, codecs, and security considerations tailored for connected cars, factories, telco towers, POS systems, and IoT devices. Learn why current technologies fall short, what a SWaP-C-optimized Kafka could enable, and what you can start doing today to prepare your edge streaming stack.

Anomaly Detection and Streaming at Razorpay
Speakers: Narendra Kumar & Anuj Jain, Razorpay
About the talk: TBA

📣Call for speakers:
We’re opening the floor for our upcoming meetup!
The Call for Speakers is still open at https://forms.gle/wsi42fzS1DrERuEcA and we're looking for talks around data streaming and event streaming technologies.