In this dive deep session, we will delve into the world of vector stores, which are essential components for generative AI projects. We'll discuss the various types of vector stores available, each with its own strengths and use cases. We'll explore how to align these vector stores with specific requirements, considering factors like scalability, performance, and cost. Additionally, we'll provide insights on how to select the most suitable vector store for your generative AI projects.

Who should attend:

- Data Scientists

- ML/AI Developers

- Engineering Managers

- CTOs

Key Takeaways:

- Understanding the fundamentals of vector stores and their applications

- Evaluating different vector store options based on criteria such as scalability, performance, and data structure

- Best practices for integrating vector stores into your generative AI pipelines

Prerequisites:

- Basic knowledge of Retrieval Augmented Generation (RAG) and databases

- Laptop with a web browser to follow along

- On the day of the session, please bring your email registration confirmation for entry

Important: Sessions are focused on providing best practices, details of service features and demos for working professionals only. Attendance is subject to AWS Event Terms and Conditions.