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The PostgreSQL extension for Visual Studio Code is here! Gwyneth Peña-Siguenza shows you how to get started with creating a new Docker PostreSQL server, managing your connections, chatting with your database, and more.

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Visual Studio Code

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42,029 görüntüleme • 1 yıl önce •via X (Twitter)

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The Acellus® Learning System automates much of the busy-work associated with grading & keeping records so that parents can focus on what matters most–helping your child succeed. Enroll now! ⬇️

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FullStackIzzy1 yıl önce

@madebygps I was using SQL tools (Extension) but hated the fact that I was not able to see ERDs. I just tried this extension and it woks perfectly! This is exactly what I needed!

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Watermelón1 yıl önce

@madebygps But but but what about MySQL 🥺

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@madebygps Cmon, do I need to keep talking about fonts, like where’s the basic accessibility, programming is for everyone, including those who have difficulty seeing

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Marlene Mhangami1 yıl önce

@madebygps 🔥🔥🔥

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This is, by far, one of the best uses of modern AI. If you don't use embeddings when querying your database, you are definitely leaving a lot on the table. In this video, I'll show you how to run semantic searches using OpenAI and PostgreSQL. It's all thanks to Pgai, an open-source PostgreSQL extension: Here's what will happen: 1. We'll create a simple table with news articles 2. We'll generate embeddings for those articles 3. We'll run queries on top of those embeddings For this video, I generated the embeddings using a simple query, but pgai Vectorizer would do the same automatically as new information makes it into the database. This is awesome! If you have a PostgreSQL database with data you are searching over, you should start experimenting with semantic searches immediately. For most use cases, a combination of full-text search + semantic search is the best approach. If you don't have a PostgreSQL database around, you can try free for 30 days using Timescale: Thanks to the Timescale (now TigerData) team for partnering with me on this post!
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