Vector Embeddings & Search Explained 🎯

Alejandro Duarte explains vector embeddings and their role in generative AI applications and vector search techniques.

Vector Embeddings & Search Explained 🎯
MariaDB
14.5K views • Feb 21, 2025
Vector Embeddings & Search Explained 🎯

About this video

In this video, Alejandro Duarte (Developer Relations Engineer at MariaDB) explains what vector embeddings are in the context of generative AI applications and RAG.

📖 Read the documentation: https://mariadb.com/kb/en/vectors/

0:00 Intro
0:22 The VECTOR data type
1:33 Storing embeddings in MariaDB
3:32 Distance functions
4:56 Embedders
7:40 Product recommendations
10:42 Semantic search
13:05 Good practices

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MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan, or ordering takeout–MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500 run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments, and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.

#AI #generativeai #RAG #MariaDB #Database #Data #SQL #programming #softwaredevelopment

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Video Information

Views

14.5K

Likes

124

Duration

15:36

Published

Feb 21, 2025

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