Beginner's Guide to Vector Databases

I am actively working on technology to retrieve information a lot faster, in the context of GenAI, LLM, and RAG, for instance to power home-made GPT-like apps. The topic is gaining a lot of traction, and all AI professionals should be familiar with it. Did you know that KNN and ANN are used to optimize vector search?

This upcoming webinar constitutes an excellent introduction to the subject, explaining the architecture of vector databases, with case studies and code snippets. Recording and GitHub material will be available to registrants who cannot attend the free 60-min session. Register here.

Overview

With the global vector database market expected to reach USD 1.7 billion by 2027, understanding this technology is more relevant than ever.

This session will not only delve into the basics of vector databases but also highlight why they are crucial in today's data-driven landscape, particularly in enhancing AI capabilities and managing complex spatial data.

We'll also include a live demo and code-share during the webinar, offering practical insights into utilizing vector databases effectively.

What you will learn

• The fundamentals of vector databases and their role in modern data management.
• How vector databases are enhancing AI and machine learning projects, with 73% implementations focused on these areas.
• Best practices for integrating vector databases into your existing data infrastructure.
• Live demonstration of vector database applications, including a hands-on code-sharing session.

Register here.