Search Isn’t Dead: From Rag To Agents With Vector Databases

Note: This article was primitively published connected Oct. 16, 2025, and has been updated pinch accusation from nan webinar.

In nan not-so-distant past, hunt was comparatively simple: A hunt motor for illustration Google would find and rank contented that matched nan keywords aliases phrases of a query. But this accepted exemplary of lexical hunt has been shattered by nan emergence of large connection models (LLMs).

And it’s happened very quickly. As Dave Moore, main solutions designer astatine Elastic, explained successful a caller webinar pinch The New Stack, “for nan longest time, hunt was nan exertion to beat” — to nan constituent wherever we’ve taken it for granted.

However, successful December 2024, conscionable 2 years aft ChatGPT publically launched, research by Future recovered “in nan US, astatine least, astir a 4th of nan respondents had said that they usage AI devices alternatively of hunt engines arsenic their superior intends of searching for information.”

Today, semantic, generative AI (GenAI) and agent-based approaches are reshaping manufacture practices by allowing group to inquire analyzable questions utilizing earthy language. However, these approaches still struggle pinch issues like the accuracy of results and hallucinations, citation quality, and nan freshness of information.

GenAI is besides altering nan technologies underlying search. This is particularly existent for databases, arsenic nan accepted relational databases that person agelong powered hunt aren’t good equipped to grip caller approaches for illustration retrieval augmented procreation (RAG).

The New Role of Vector Databases successful Search

Now vector databases are taking nan lead, enabling trustworthy, intent-driven retrieval and powering reliable AI agents. These capabilities thief guarantee accuracy, adaptability and seamless integration pinch modern AI frameworks.

They besides alteration group to hunt utilizing images — not conscionable earthy language, which Moore demonstrated during nan webinar, Achieving Relevant AI pinch Vector Search, now disposable connected demand.

Watch now to study astir nan captious domiciled of vector databases successful enabling trustworthy, intent-driven retrieval and powering reliable AI agents.

Register for This Free Webinar Today!

What You’ll Learn

By attending this typical online event, you’ll time off pinch champion practices, real-world examples and actionable tips, including:

• The evolving domiciled of hunt and vector databases successful GenAI.
• Why a vector database is nary longer enough.
• The advantages of a hybrid search/RAG/agent approach.
• How to thief users understand really they tin spot nan responses from LLMs.
• A unrecorded objection of ways you tin usage a vector database.

Register for this free webinar today!

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