filmov
tv
What are vector embeddings? PlanetScale vector search.

Показать описание
This video covers vectors and embeddings, explaining what they are, how to generate them using sentence_transformers in Python, and what you might use them for in an application.
0:00 Introduction
0:27 Hacker News example
1:50 What are vector embeddings?
3:55 1D example
5:00 2D example
5:43 3D example
7:14 OpenAI
8:02 Generate embeddings in Python
11:15 Hacker News example revisited
12:40 Wrap-up
💬 Follow PlanetScale on social media
What are vector embeddings? PlanetScale vector search.
Using vector search in MySQL
Vector Databases simply explained! (Embeddings & Indexes)
We've added vector search to MySQL #mysql #database
Your database will break in 2038 (or much sooner) #database #coding #mysql
Database Sharding in 200 Seconds
Vector Indexing Explained in 60 Seconds
Connect Planetscale database to AIHelperBot and run SQL queries directly (beta)
15 futuristic databases you’ve never heard of
Vector Search in Modern Databases
How Microsoft powers planet-scale AI apps with DiskANN
What the Fly? What is Fly.io, anyway?
The future of databases with generative AI
How to embed your custom map with Mapotic
Tools for Understanding the Planet on Google Cloud | Jeremy Malczyk | Cloud Geographer | Google
DjangoCon Europe 2025 | Data-Oriented Django Drei
Time Travel with Serverless Postgres
Building a Data Infrastructure for AI/ML
Devsisters: Uptime as a core requirement for online gaming application
Stas Kelvich. Neon – serverless Postgres, 'open-source Aurora', with DB branching
Build a AI Chatbot with Next.js 13, React, Tailwind, Prisma | Full Stack Tutorial | 2023
Introduction to ML.NET - John Alexander
Powering AI in real-time and at scale with Real-Time Intelligence
Non-relational databases design patterns: How Shopify leverages them to power their business
Комментарии