Vector Databases, Embeddings, and Semantic Search - The Future of Information Retrieval

This session will explore the role of vector databases, embeddings, and semantic search in modern AI applications. We'll demonstrate how these technologies can be used to create more powerful, intuitive search experiences. We'll also share lessons learned from real-world implementations, focusing on challenges and solutions. This session is ideal for developers interested in the cutting-edge of information retrieval and storing state of LLM applications.

Paul Swider

Pioneer in global clinical informatics and health technology, code, blockchain, cloud, international speaker, philanthropy, and adventure travel!

Boston, Massachusetts, United States

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