.NET Rocks! Serverless Elastic with Ken Exner
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May 29, 2025 Ken Exner, the Chief Product Officer at Elastic, shares insights on groundbreaking serverless storage and search capabilities. He highlights the financial benefits, emphasizing the pay-as-you-go model for data storage and movement. The conversation dives into Elastic's integration with Azure AI Foundry, showcasing its potential for providing rapid access to data for large language model implementations. Ken also discusses the importance of vector databases, hinting at their vital role in advanced hybrid search techniques and the future of AI applications.
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Elastic's Serverless Elasticsearch
- Elastic's new serverless offering on Azure lets you pay only for data stored and moved, without managing infrastructure.
- This makes Elasticsearch more accessible and cost-effective, scaling to zero when not in use.
Search Powers Generative AI
- Search has a pivotal role in generative AI as a grounding source for private, current, and permission-aware data.
- Building conversational search with context and memory is the next evolution, enhancing AI application interactions.
Early Vector Database Pioneer
- Elastic began supporting dense vector storage and queries in 2017, pioneering vector databases before AI popularized them.
- Vectorization enables semantic similarity search for text, images, and video by plotting embeddings in multidimensional space.