Naveen Tatikonda is a Software Development Engineer at AWS and a maintainer for the OpenSearch project. He specializes in distributed systems and vector search performance, with a particular focus on k-NN and implementing memory-efficient architectures that scale without compromising search recall. He works closely with the developer community, sharing his expertise through technical blogs and design docs to help others build faster, more efficient search at scale.

Presentations

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OpenSearch: Your Friendly Neighborhood Vector Database

OpenSearch, aside from being a search, analytics, and observability solution, often gets overlooked as a fully functioning open source vector database. I’d very much like the opportunity to showcase the progress we’ve made here at the OpenSearch project implementing vector database operations and making them accessible to developers of all skill levels.

Let’s learn how to create and query vector embeddings, implement semantic search, and prepare yourself for RAG. You’ll get introduced to all of what is available in this “OpenSearch Vector Operations for Dummies” presentation. Hopefully it will bring a user-friendly path on a battle tested, fully open source platform.

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