Getting Started with AI Vector Search: Join Our Ask TOM Office Hours

Generative AI applications are changing how organizations interact with their data. Whether you’re building retrieval-augmented generation (RAG) applications, semantic search solutions, recommendation engines, or intelligent chatbots, one common challenge remains: how do you efficiently find the most relevant information from large volumes of data?

This is where Oracle AI Vector Search comes in.

AI Vector Search enables developers to search data based on meaning rather than exact keyword matches. By converting text, images, and other content into vector embeddings, applications can identify semantically similar information even when the words used are different. This capability has become a foundational building block for modern AI applications and RAG architectures.

With Oracle AI Database AI Vector Search, organizations can store, index, and search vector embeddings directly within Oracle AI Database, allowing developers to combine semantic search with traditional relational, JSON, spatial, and graph data. This makes it easier to build AI-powered applications while keeping enterprise data secure and governed within a single platform.

As interest in AI Vector Search continues to grow, we’ve seen an increasing number of questions from developers and database professionals who are exploring how to get started, optimize performance, and design effective AI-powered solutions.

To help answer those questions, we’re launching a new Ask TOM Office Hours series focused on AI Vector Search.

Join us on Wednesday, June 17 at 10:00 AM PDT for our first session. Doug Hood and I will provide a brief introduction to AI Vector Search, discuss common use cases and best practices, and then open the floor for questions. Whether you’re just beginning your AI journey or already building vector-enabled applications, we’d love to hear from you.

This session is designed to be interactive, so bring your questions, challenges, and ideas.

You can learn more and register here:

Ask TOM Office Hours AI Vector Search

We look forward to seeing you there.