Current State of Vector Databases with Sanjeev Mohan
Register here for this 60-min live session, Wednesday, September 27. If you can't make this date/time, you will automatically receive a copy of the webinar video recording and GitHub assets via email after the live session.
Summary
The landscape of vector databases is shifting rapidly, influencing the way engineering teams approach AI and data pipelines. As organizations grapple with optimizing architecture for generative AI, understanding the nuances of vector databases becomes critical. Join Sanjeev Mohan, a former VP at Gartner, as he deciphers the intricate world of vector databases, offering technical insights tailored for engineering leadership.
What You’ll Learn:
Technical deep-dive into vector embeddings and their pivotal role in modern AI architectures.
Key considerations in constructing efficient AI pipelines and integrating vector search capabilities.
Best practices in evaluating and selecting vector-enabled databases for scalable applications.
Architectural and performance nuances of leading vector databases in the market.
Strategies to ensure seamless deployment, security, and operational excellence with vector databases.
To register, follow this link.
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1y"I'm eagerly looking forward to this session on the Current State of Vector Databases with Sanjeev Mohan. In today's rapidly evolving world of AI and data management, understanding vector databases is crucial for engineering teams. I'm excited to gain insights into key areas such as vector embeddings, efficient AI pipelines, database selection, architecture, performance, and deployment strategies. This session promises to be a valuable resource for engineering leaders navigating the AI landscape. Thank you for organizing it! 🚀🤓 #AI #DataManagement #VectorDatabases #TechInnovation"