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3-4 June, 2025
Bengaluru, India
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Note: The schedule is subject to change.

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IMPORTANT NOTE: Timing of sessions and room locations are subject to change.

Wednesday June 4, 2025 11:15am - 11:55am IST
As enterprises grapple with unstructured data, Retrieval-Augmented Generation (RAG) is transforming search from simple retrieval to context-aware AI-driven knowledge generation.

This session explores how DeepSeek-R1, a powerful reasoning model, integrates with Amazon OpenSearch Service’s vector database to enable scalable, intelligent information retrieval.

Attendees will learn:
How RAG enhances traditional search using vector embeddings and semantic understanding.
How to connect DeepSeek-R1 on SageMaker with OpenSearch for AI-powered responses.
How OpenSearch’s flexible connectors integrate with models like DeepSeek, Cohere, and OpenAI.

By the end of this session, you'll gain actionable insights on implementing RAG workflows in OpenSearch, improving search accuracy, and advancing the AI ecosystem with knowledge-augmented AI.
Speakers
avatar for Shubham Kumar

Shubham Kumar

Associate Delivery Consultant - Data Analytics, Amazon Web Services (AWS), Amazon Web Services
Shubham is an Associate Delivery Consultant at Amazon Web Services, based in Bangalore. He specializes in Big Data, Data Lakes, ETL Migrations, Search and Observability, as well as GenAI projects. With deep technical expertise, He consistently delivers impactful and scalable solutions... Read More →
avatar for Ramya Bhat

Ramya Bhat

Delivery Consultant, Amazon Web Services
Ramya is a AWS Delivery Consultant specializing in Search, Data Warehouse, and ETL solutions. With experience in data engineering and architecture, she has shared her expertise at public technology conferences including PostgreSQL Conference (PGConf), APJC Tech Summit and Amazon wide... Read More →
Wednesday June 4, 2025 11:15am - 11:55am IST
Jupiter

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