Vamshi Vijay Nakkirtha

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Vamshi Vijay Nakkirtha is a software engineering manager working on the OpenSearch Project and Amazon OpenSearch Service. His primary interests include distributed systems. He is an active contributor to various plugins, like k-NN, GeoSpatial, and dashboard-maps.

Vamshi Vijay Nakkirtha's Roles

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Blog Posts & Articles by Vamshi Vijay Nakkirtha

Most Recent Blog Posts

technical post

Boost OpenSearch vector search performance with Intel AVX-512

Tue, Apr 08, 2025

technical post

GPU-accelerated vector search in OpenSearch: A new frontier

Tue, Mar 18, 2025

Other Blog Posts

19 Feb 2025 Reduce costs with disk-based vector search
30 Jan 2025 Zero to RAG: A quick OpenSearch vector database and DeepSeek integration guide
18 Dec 2024 Deep dive: Enabling pluggable storage in the OpenSearch vector engine
27 Nov 2024 OpenSearch Project update: A look at performance progress through version 2.17
26 Nov 2024 Introducing byte vector support for Faiss in the OpenSearch vector engine
25 Nov 2024 Optimize your OpenSearch costs using binary vectors
19 Nov 2024 Boosting k-NN exact search performance
17 Oct 2024 How sorting works in hybrid queries
27 Aug 2024 Boosting vector search performance with concurrent segment search
02 Jul 2024 Boosting Hybrid query performance in OpenSearch 2.15
27 Jun 2024 Optimizing OpenSearch with Faiss FP16 scalar quantization: Enhancing memory efficiency and cost-effectiveness
24 Jun 2024 Understanding vector radial search in OpenSearch
28 Mar 2024 Enhanced multi-vector support for OpenSearch k-NN search with nested fields
16 Jan 2024 OpenSearch AI and machine learning: Recapping 2023 and what’s next
18 Oct 2023 Efficient filtering in OpenSearch vector engine
09 Oct 2023 Byte-quantized vectors in OpenSearch
04 Oct 2023 New IP2Geo processor with automatic update in OpenSearch
04 Oct 2023 Improve search relevance with hybrid search, generally available in OpenSearch 2.10
19 Oct 2022 Partner Highlight: AWS explores different k-NN algorithms and workload optimizations
06 Apr 2020 Build K-Nearest Neighbor (k-NN) Similarity Search Engine with Elasticsearch