Blog
What's the best vector database for building AI products?
September 15th
Engineering
Vector databases are the backbone of retrieval-augmented generation (RAG), a key technique enabling modern AI products to deliver accurate, context-aware answers from private data. This is our comprehensive comparison of leading vector databases, including Turbopuffer, Pinecone, Qdrant, pgvector, and many more.
We’ve open-sourced our customizable React emoji picker
March 20th
Engineering
Introducing Frimousse, a headless open-source emoji picker component for React.
Configure each user’s notification settings for email, Slack, and more
March 6thProduct & Design
Which rich text editor framework should you choose in 2025?
February 6thEngineering
A better way to email your users about unread content
December 18th, 2024Product & Design
Increase in-app commenting with attachments
October 3rd, 2024Product & Design
Build collaborative text experiences with Liveblocks Yjs
September 5th, 2023Engineering
How to add Google authentication to your Next.js + Liveblocks app with NextAuth.js
April 5th, 2023Engineering
How to animate multiplayer cursors
July 5th, 2022Engineering
How to build undo/redo in a multiplayer environment
June 9th, 2022Engineering
How to set up end-to-end tests for multiplayer apps using Puppeteer and Jest
February 4th, 2022Engineering
How to add a live avatar stack to your product with React, Firebase, and Liveblocks
November 10th, 2021Engineering