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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 3:20pm - 4:00pm IST
Vector search is a rapidly growing area within search and analytics, and the k-NN (k-Nearest Neighbors) plugin in OpenSearch offers multiple engines to support this capability, with FAISS (Facebook AI Similarity Search), which provides efficient similarity search and clustering of dense vectors, being a preferred choice.

To speed up vector operations, FAISS engine utilizes SIMD (Single Instruction Multiple Data) processing, leveraging AVX (Advanced Vector Extensions) instructions on x86 architecture. With the latest AVX-512 (512-bit wide vector processing) support in FAISS, OpenSearch achieves further performance improvements in vector indexing, quantization, and search operations.

This presentation will delve into key technical advancements, including an in-depth look at AVX, the impact of AVX-512 on vector search performance and real-world benefits for OpenSearch users. Additionally, we will discuss how these enhancements lead to better price-performance and reduced TCO (Total Cost of Ownership).
Speakers
avatar for Sourav Paul

Sourav Paul

Engineering Manager, Intel Corporation
Sourav is an accomplished Engineering Manager with a strong background in Software Development, Performance Engineering, & Cloud Computing. Possessing a degree in Computer Science & Engineering, Sourav has amassed nearly two decades of professional experience, collaborating with professionals... Read More →
avatar for Abhijit Kulkarni

Abhijit Kulkarni

Mr. Abhijit Kulkarni, Intel Corporation
Abhijit Kulkarni is a proficient Software Engineer with over 14 years of experience in software design and development across diverse domains such as Payments, Telecom and Aviation. His extensive Java experience along with strong problem-solving and analytical skills have been instrumental... Read More →
Wednesday June 4, 2025 3:20pm - 4:00pm IST
Ceres

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