Hey everyone! I messed up big time, and I’m so sorry I missed tonight's call! Right after work, I went straight into deep recording mode, got completely lost in it, and mixed up my days. I'm pushing hard to get everything wrapped up before I head out on vacation, and I’m determined to get this new video out for you guys beforehand! The good news? I’ve made a ton of progress, and the video will definitely be dropping later this week. It’s going to be awesome, and I can’t wait for you all to see it! To make it up to you, I’m rescheduling our coaching call for tomorrow at the exact same time—6 PM Eastern. Please check the calendar link inside Skool to join the call tomorrow. https://us06web.zoom.us/j/88147911035?pwd=sH3IK3KB5rb2C4tNKJcFadga96c8k3.1 Once again, I’m really sorry for the mix-up! Thank you so much for your patience and understanding. Looking forward to seeing you all tomorrow! Cheers, Brandon 🧑‍💻

Hey team! I'm thrilled to announce that I've just released a brand-new crash course on creating a free vector store with Superbase! This tutorial is your ultimate guide to mastering data storage and retrieval augmented generation (RAG) to chat with your data like never before. By the end of this video, you'll have built a mini full-stack application that lets you save emails to a vector store and chat with your previous emails. I can't wait for you to dive in! Here's what you can expect in this crash course: 1. Superbase Setup: Learn how to set up a Superbase project, create tables, and store data and embeddings efficiently. 2. Email Storage and Embedding: Discover how to save emails, break them into sections, and embed them for easy retrieval. 3. RAG Implementation: Master the art of querying your vector store to pull relevant information and chat with your data using OpenAI. Why This Tutorial is a Game-Changer: - Step-by-Step Guidance: From setting up Superbase to implementing RAG, I walk you through every step. - Real-World Application: Build a functional app that lets you interact with your data in innovative ways. - Free Source Code: I'm giving away all the source code for free, so you can follow along and customize your project. If you have any questions, feel free to drop a comment below! Cheers, Brandon Hancock 🧑‍💻🥂 P.S. Here's a link to the source code: https://github.com/bhancockio/supabase-postgres-vector-store-yt

Hi everyone! I'm running into an issue with lesson 13.7, "Vercel Blob Store Upload." I deployed the project to Vercel, and everything works fine locally. When running the app locally, selecting a project takes me to the project details page as expected. However, on the deployed Vercel version, it shows a "not found" page instead. Has anyone encountered this before? Any ideas on what I might be overlooking? Thanks in advance

I see that the tutorial focus heavily on crewAI. Is the framework much better than any other frameworks? (langchain, huggingface,...)

tl;dr: Newb should use: venv, conda, poetry, Crew's "crewai install" command, docker containers? I'd love to hear what you recommend! @brandon I believe you prefer Conda ... why? [I've installed anaconda and can use that]