Supabase Postgres Vector DB Crash Course

🤖 Download the Source Code Here: https://brandonhancock.io/superbase-vector-store-crash-course Don't forget to Like and Subscribe if you're a fan of free source code 😉 📆 Need help with CrewAI, join our FREE Skool Community: https://skool.com/ai-developer-accelerator/about 📣 New Premium Fullstack AI Course: By the way, I just launched my new Fullstack AI Marketing Platform course! It’s all about building real-world AI apps that automate marketing workflows for creators using NextJS, Vercel AI SDK, and more. The course also comes with live group support every Sunday between now and the middle of November! https://www.skool.com/ai-developer-accelerator/classroom In this crash course, I guide you through creating a free vector store in Superbase, saving data and embeddings, and using RAG to chat with your data. By the end of this video, you'll have built a mini full-stack application that allows you to save emails to this vector store and chat with all your previous emails. I'll walk you through setting up a Superbase project, creating a Next.js project, and integrating OpenAI for embeddings. Plus, all the source code is available for free! 📰 Stay updated with my latest projects and insights: LinkedIn: https://www.linkedin.com/in/brandon-hancock-ai/ Twitter: https://twitter.com/bhancock_ai Resources mentioned in video: - Supabase: https://supabase.com/ - Supabase Indexes: https://supabase.com/docs/guides/ai/vector-indexes - Create a NextJS Supabase Project: https://supabase.com/docs/guides/getting-started/quickstarts/nextjs - Supabase Insert Data: https://supabase.com/docs/reference/javascript/insert Checkout my other tutorials: LangChain Tutorial - https://youtu.be/yF9kGESAi3M CrewAI Tutorial: Complete Crash Course for Beginners - https://youtu.be/sPzc6hMg7So CrewAI Tutorial for Beginners: Learn How To Use Latest CrewAI Features - https://youtu.be/Jl6BuoXcZPE How To Connect Llama3 to CrewAI [Groq + Ollama] - https://youtu.be/02cdCd43Ccc Timestamps: 00:00:00 Introduction 00:00:34 Overview 00:03:51 Phase 1 - Setup Supabase Account 00:06:53 Phase 2 - Create Database with Vector Store Support 00:21:49 Phase 3 - Create NextJS App to Store Emails 00:50:00 Phase 4 - Update NextJS App to Chat with Emails 01:03:17 Complete App Working Example 01:06:33 Outro

Flutter로 사용자 경험을 높이는 애니메이션 효과 만들기

안녕하세요 개발하는남자 개남입니다. 오늘 영상은 Flutter로 앱에 생동감을 더하는 애니메이션 효과의 모든 것! 사용자 경험을 개선하고 앱의 가치를 높일 수 있는 특별한 팁과 트릭을 공유합니다.

남을 가르치는게 최고의 학습법입니다

스프링 OAuth2 인가 서버 : 8. 코드 발급부

소셜 로그인을 제공하는 스프링 OAuth2 인가 서버에서 코드 발급부를 구성하는 방법입니다. 내용 정리 Docs : https://www.devyummi.com/page?id=66fdd9fa6dde1d65bad0d42a 00:00 - 개요 00:15 - 모식도 01:20 - 수행 과정 03:53 - 구현 목록 05:10 - Entity 작성 07:00 - Repository 작성 08:00 - OAuth2AuthorizationConsentService 구현 #스프링시큐리티 #스프링OAuth2 #스프링부트

Exploring React 19 Features - use() Hook, Actions & More

In this video, we will look at some of the features of React 19 including the React compiler, use() hook, form actions, new hooks like useFormState(), useFormStatus() and useOptimistic(). Code: https://github.com/bradtraversy/react-19-playground Check out my courses: https://traversymedia.com Social Media: Github - https://github.com/bradtraversy Twitter - https://twitter.com/traversymedia Instagram - https://www.instagram.com/traversymedia Facebook - https://www.facebook.com/traversymedia Linkedin - https://www.linkedin.com/in/bradtraversy Timestamps: 0:00 - Intro 1:24 - Compiler Info (Slide) 3:05 - Automatic Memoization (Slide) 4:04 - use() Hook Info (Slide) 4:57 - use client & use server (Slide) 5:43 - Actions (Slide) 6:54 - useOptimistic (Slide) 7:40 - Metadata (Slide) 8:06 - Other Changes (Slide) 9:48 - React 19 Playground Intro 10:53 - use() Hook to Fetch Joke 15:34 - use() Hook to Fetch Posts 17:05 - use() Hook with Promise 21:16 - use() Hook with Context 23:32 - Action Example 1 - Post Form 29:25 - Action Example 2 - Shopping Cart Form 35:25 - useFormStatus() 39:49 - useFormState() 44:12 - useOptimistic()

AI Engineering 2025 PLAN: Max out AI COMPUTE for o1 Preview, Realtime API, and AI Assistants

The plan for 2025 is simple. MAX OUT your AI COMPUTE for Prompts, AI Agents, and AI Assistants! 🎥 Featured Media: Part 1: Realtime API with tool chaining https://youtu.be/vN0t-kcPOXo Part 2: Senior Engineer’s AI Assistant https://youtu.be/090oR--s__8 Two way prompt video https://youtu.be/sTruFeIO0iA 🚀 In this video, we breakdown the 2025 plan to supercharge your AI engineering skills. We'll explore how advancements like Sonnet 3.5, O1 reasoning models, structured outputs, and the realtime API are changing how we build with AI. This is about you wielding as much compute as you can use build AI Agents and Assistants. 🔥 We introduce Ada v3, a personal AI assistant built for engineers. Watch Ada effortlessly navigate databases, generate SQL queries, create documentation, and even build Python charts. This is a glimpse into the future of agentic engineering, where AI handles the heavy lifting, freeing you to focus on high-level design and strategy. 🛠️ This video isn't just about tools; it's about a mindset shift. We break down the core components of modern AI engineering: prompt design, AI agents, AI assistants, and ultimately, agentic workflows. Learn how to leverage these components to maximize your AI compute and achieve unprecedented productivity gains. We'll cover everything from prompt engineering and prompt design to building powerful AI agents and personal AI assistants. 🌟 This video is essential for any AI engineer, software developer, or tech enthusiast looking to stay ahead of the curve. Learn how to harness the power of AI compute, master agentic engineering principles, and transform your workflow. Whether you're working with Sonnet 3.5 or other LLMs, this video will equip you with the knowledge and strategies to succeed in the age of AI. 💡 Key takeaways: AI Assistant: Build your own personal AI assistant like Ada. AI Agents: Learn how to design and deploy powerful AI agents. Reasoning Model: Understand the role of reasoning models like O1. AI Compute: Maximize your AI compute for optimal performance. Prompt Engineering: Master the art of prompt design for effective AI interaction. Agentic Engineering: Embrace the principles of agentic engineering for next-level productivity. Realtime API: Leverage the power of realtime APIs for seamless AI integration. Join the journey. Stay focused, and Keep building. 📖 Chapters 00:00 Four key breakthroughs for 2025 00:44 Personal AI Assistant Ada v3 03:05 My 2025 Plan For AI Engineering 17:27 Three Big ideas for the rest of 2024 #aiengineer #aiagents #aicomputing