Understanding Vector Databases: Embeddings, Indexes, and Use Cases

A clear explanation of vector databases, including what vector embeddings and indexes are, how they function, and their practical applications.

Understanding Vector Databases: Embeddings, Indexes, and Use Cases
AssemblyAI
577.8K views • May 6, 2023
Understanding Vector Databases: Embeddings, Indexes, and Use Cases

About this video

Vector Databases simply explained. Learn what vector databases and vector embeddings are and how they work. Then I'll go over some use cases for it and I briefly show you different options you can use.

Resources:
- Gentle introduction: https://frankzliu.com/blog/a-gentle-introduction-to-vector-databases
- What is a vector database: https://www.pinecone.io/learn/vector-database/

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00:00 - Intro
00:44 - Why do we need vector databases
01:29 - Vector embeddings and indexes
02:58 - Use cases
03:45 - Different vector databases

Vector Database Options:
- Pinecone
- Weaviate
- Chroma
- Redis
- Qdrant
- Milvus
- Vespa

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#MachineLearning #DeepLearning

Video Information

Views

577.8K

Likes

12.3K

Duration

4:23

Published

May 6, 2023

User Reviews

4.8
(115)
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