Getting Started with Vector Databases and AI Embeddings
Discover how vectors embeddings and databases fuel modern AI search and applications
Created by Idan Gabrieli
Get a hands-on introduction to the world of vector databases and AI embeddings. Learn how modern AI systems use vectors to understand and organize information, powering features like semantic search and recommendations. Discover how to move from raw data to practical AI applications using these essential concepts.
Packt | Sep 2025 | 120 min
What You Will Learn
You'll start by building a solid understanding of vectors and embeddings, then see how similarity metrics help compare data. Next, you'll dive into the workings of vector databases and learn practical workflows for managing and searching information. Real-world examples tie everything together, showing how these tools solve real AI challenges.
Key Features
- Grasp how vectors and embeddings turn raw data into AI-friendly information
- Learn to use vector databases for managing and searching complex data
- Explore real-world AI use cases like semantic search and recommendations
Target Audience
Perfect for beginners and professionals curious about AI, data, and new search technologies. If you're a data scientist, developer, analyst, or product manager looking to understand how modern AI applications work, you'll find practical insights here. No advanced AI or database experience is needed, just a willingness to explore new ideas.
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