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Large language models and generative AI are transforming how we think about search, but they've also raised new challenges around trust, accuracy, and control.

Join us on November 4 as we welcome Dave Moore, Principal Solutions Architect at Elastic, for a live discussion on how vector databases, semantic search, and AI agents are redefining search for the GenAI era.

Webinar Takeaways:

• Why vector databases are essential — but not enough on their own

• Why hybrid search, RAG, and agent-based approaches deliver better results

• Ways to ensure users can trust LLM-generated answers

• A live demo showing real-world use cases

Don't miss this opportunity to see how the future of search is unfolding. Register today to join the conversation!

Further Reading

How To Master Vector Databases

Learn how to choose the right vector database for your use case, index and query your data, and optimize performance in this comprehensive guide.

Search Isn’t Dead: From RAG to Agents With Vector Databases

Those who proclaim search dead in the age of AI are missing a key point: Search is AI, and vector databases are its engine.

Superlinked Democratizes Real-Time Semantic Search

This Python framework combines structured and unstructured data to build high-performance search and recommendation applications.

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