Gain insights into generating embeddings and using vector databases to enhance search and recommendation systems. Delve into multimodal embeddings, Chroma, and performance optimization techniques like HNSW.
Intermediate
18 Lessons
3h 15min
Certificate of Completion
Gain insights into generating embeddings and using vector databases to enhance search and recommendation systems. Delve into multimodal embeddings, Chroma, and performance optimization techniques like HNSW.
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This course includes
This course includes
Course Overview
In this course, you’ll learn to generate embeddings and utilize vector databases to build semantic search apps, enhance recommendation systems, and develop multimodal search solutions. You’ll begin by understanding the concept of embeddings, vector databases, and their importance in modern world applications. You’ll learn to generate text embeddings with BERT, image and video embeddings with CNNs, audio embeddings with mel spectrogram, and multimodal embeddings with CLIP. You’ll explore the architecture, d...Show More
What You'll Learn
An understanding of vector databases and their significance in modern data applications
Hands-on experience generating embeddings for different data types
The ability to find similar embeddings within a vector space
The ability to build efficient, practical applications using the power of vector databases and embeddings
Hands-on experience using open-source vector databases and optimizing their performance
What You'll Learn
An understanding of vector databases and their significance in modern data applications
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Course Content
Before Getting Started
Getting Started with Vector Databases and Embeddings
Working with Vector Databases
Developing a Music Recommendation System
Wrapping Up
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