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About this webinar
Deciding which vector database your organization should use? It’s easy to get overwhelmed with all the benchmarking advice out there. Database vendors may publish their own benchmarks, but they'll often skew datasets and settings in their favor. What really matters is whether a database performs well in your environment, on your specific data, for your use case, and within your budget.Join us for a practical webinar where we break down why benchmarking AI databases is key to getting the most out of your systems. We’ll show you how to create and test your own benchmarks and share successful customer benchmarking strategies from the field. Whether you're focused on internal projects or external users, this webinar will give you the tools to design your own benchmarks and make the most of whichever database you choose.
In this webinar, you will learn:
- The critical role of benchmarking for AI databases
- How to design and test benchmarks that align with your specific use case
- Key factors to consider, from dataset selection to performance metrics like precision, recall, performance and cost
- How to test your benchmarks on Weaviate
Speakers
Join our speakers for this learning sessions and live demo!
Byron Voorbach
Field CTO, Weaviate
Byron Voorbach has spent over a decade in the search domain, providing consultation to companies and aiding in implementing large-scale search systems. As Field CTO at Weaviate, he collaborates with customers globally to harness the power of semantic search in their operations. A regular conference speaker and active contributor to open-source projects, Byron enjoys tackling complex problems and venturing into diverse domains. His work also includes building projects demonstrating cutting-edge search technologies’ potential and functionality and committing new functionality to Weaviate.