Author: MariaDB - Bewertung: 0x - Views:4
In this video, Alejandro Duarte (published author and Developer Relations Engineer at MariaDB) shows how to build Generative AI applications using Retrieval-Augmented generation (RAG) and vector search with MariaDB.
Related Resources
►Code: https://github.com/alejandro-du/mariadb-rag-demo-java
►Documentation: https://mariadb.com/kb/en/vectors/
Table of Contents
0:00 Intro
0:12 AI models and vector storage
1:48 Setting up the services
4:00 Computing and storing vectors
9:02 Vector search
16:43 Running the demo
18:22 Final remarks
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►Follow Alejandro on LinkedIn: https://www.linkedin.com/in/alejandroduarte/
►Follow MariaDB on X: https://x.com/mariadb
►Follow MariaDB on Bluesky: https://bsky.app/profile/mariadb.bsky.social
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https://www.youtube.com/mariadb
►Explore MariaDB Products: https://mariadb.com/products
►Check out the MariaDB DeveloperHub: https://mariadb.com/developers/
►Get in touch with MariaDB experts via Slack: https://mariadb-community.slack.com/ (invite: https://r.mariadb.com/join-community-slack)
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.
#MariaDB #Database #Data #SQL #AI #LLM #RAG #generativeai
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