Working with Embeddings VI: Vector Databases

Embeddings are the backbone of AI applications such as semantic search engines, recommendation systems, and intelligent chatbots. By converting text into numerical vectors, they capture relationships, meanings, and patterns, enabling machines to process data intelligently. They can improve recommendation systems by clustering product descriptions for personalized results, cluster song lyrics by themes to create curated playlists or create a keyword-based matching system for CVs and job descriptions.

In this hands-on workshop series, you will dive into the world of embeddings and discover how to create and apply them effectively. Together, we will explore various paradigms, test and refine embeddings for semantic search, and evaluate their effectiveness in real-world scenarios.

Each workshop stands alone, so you can attend the topics that interest you most. However, this is the last workshop in the series.

No prior knowledge of embeddings is required, but we recommend that you take this free OpenHPI course to brush up on the basics. A basic to intermediate understanding of Python and a laptop are all you need to get started.

Working with Embeddings VI: Vector Databases

In this workshop, we will learn how to store, search, and retrieve embeddings efficiently using vector databases. We will cover indexing, similarity search, and practical use cases such as building recommendation systems and semantic search engines.

Additional Details

• Who this workshop series is for: Developers, data scientists, and natural language process enthusiasts with basic to intermediate Python skills.
• What to bring: A laptop with Python installed. Further details will be provided before each workshop.
• Optional preparation: Brush up on the basics of embeddings with this free OpenHPI course.

Master the art of embeddings — register now and turn your NLP skills into powerful AI solutions!

The AI Service Centre Berlin-Brandenburg is a project of the Hasso Plattner Institute funded by the Federal Ministry of Education and Research. Its aim is to lower the barriers for using AI in business and society.

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Important Information

Photographs, audio recordings and films will be made during the event. By participating in the event, you agree that photos, audio and video recordings in which you are recognizable may be published as part of the public relations work of the AI Service Center Berlin-Brandenburg and the HPI.