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Vector Databases Deep Dive
Vector Databases Deep Dive

Vector Databases Deep Dive: Mastering the Next Generation of Data Storage with Vector Databases

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Profile Icon Babajide Ogunjobi
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$79.99
Video Nov 2024 2hrs 2mins 1st Edition
Video
$79.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Babajide Ogunjobi
Arrow right icon
$79.99
Video Nov 2024 2hrs 2mins 1st Edition
Video
$79.99
Subscription
Free Trial
Renews at $19.99p/m
Video
$79.99
Subscription
Free Trial
Renews at $19.99p/m

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Key benefits

  • In-depth vector database fundamentals, indexing, and search methods
  • Hands-on demos with top platforms
  • Future-focused insights for practical, real-world applications

Description

Explore the dynamic world of vector databases, where modern data storage meets high-dimensional data management. This course begins by introducing the foundations of vector databases, explaining their purpose and how they differ from traditional databases. You'll uncover the reasons behind their growing popularity, diving into essential concepts like vectors, embeddings, and the complexities of high-dimensional data. Moving forward, the course covers advanced topics in search similarity and nearest neighbor algorithms, providing insight into efficient data retrieval in vector databases. You’ll also examine various indexing strategies—including flat indexing, HNSW, and product quantization—enhanced by real-world illustrations that bring abstract concepts to life. This knowledge will enable you to choose the best indexing method for your needs. Finally, you’ll apply these skills with hands-on introductions to leading platforms like Pinecone and Milvus, supported by practical demos. Closing with a forward-looking perspective, the course equips you with the expertise to navigate the evolving landscape of vector databases and implement them effectively in real-world scenarios.

Who is this book for?

This course is ideal for data scientists, machine learning engineers, and database administrators looking to specialize in vector databases. A basic understanding of traditional databases and familiarity with vectors or embeddings is recommended, though the course provides a thorough introduction to key concepts.

What you will learn

  • Grasp vector database fundamentals and use cases
  • Differentiate vector from traditional databases
  • Apply advanced indexing and search methods
  • Select optimal vector database solutions
  • Implement vector databases in practical applications
  • Analyze future trends in vector data storage

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Nov 19, 2024
Length: 2hrs 2mins
Edition : 1st
Language : English
ISBN-13 : 9781837026678
Category :

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Product Details

Publication date : Nov 19, 2024
Length: 2hrs 2mins
Edition : 1st
Language : English
ISBN-13 : 9781837026678
Category :

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Table of Contents

8 Chapters
Introduction Chevron down icon Chevron up icon
Introduction to Vector Databases Chevron down icon Chevron up icon
Vector Database Core Concepts Chevron down icon Chevron up icon
Understanding Search Similarity Chevron down icon Chevron up icon
Indexing and Querying Chevron down icon Chevron up icon
Working with Vector Databases Chevron down icon Chevron up icon
Demos Chevron down icon Chevron up icon
The Future of Vector Databases Chevron down icon Chevron up icon
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