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Luuk Alleman
Приєднався 4 лип 2011
Hi there! My name is Luuk Alleman, and I’m an AI engineer and the founder of Everyman AI. This channel is dedicated to exploring the fascinating world of artificial intelligence and its endless possibilities.
I Tested 9 RAG Approaches—Here’s What Works Best
Master the Most Effective RAG System with Agentic Chunking and Similarity Search!
Are you leveraging the full potential of your RAG system? In this video, discover new techniques like dynamic search and agentic chunking that can significantly improve your system's accuracy. Watch as I walk you through the methods, provide data-backed results, and reveal the ultimate setup for building an effective RAG system. Explore the code base functionalities and learn how agentic chunking stands out by intelligently chunking data, providing better input for large language models. Stay tuned to see how various chunking and retrieval methods stack up in our rigorous tests!
Github: github.com/luukalleman/Agentic_RAG
Let's talk: www.everyman.ai/contact
00:00 Introduction: Is Your RAG System Up to Date?
00:04 Exploring Advanced Methods: Dynamic Search and Agentic Chunking
00:43 The Ultimate Setup for Accurate RAG Systems
00:56 Code Base Overview: Ingesting Data and Retrieval Methods
03:30 Understanding Chunking Methods: Static, Overlap, and Agentic
05:40 Retrieval Methods: Keyword, Similarity, and Dynamic Search
06:21 Deep Dive into the Code: Handlers, Processors, and Factories
13:44 Running the Tests: Which Combination Works Best?
14:23 Results and Conclusion: Agentic Chunking with Similarity Search
15:03 Final Thoughts and Future Directions
Are you leveraging the full potential of your RAG system? In this video, discover new techniques like dynamic search and agentic chunking that can significantly improve your system's accuracy. Watch as I walk you through the methods, provide data-backed results, and reveal the ultimate setup for building an effective RAG system. Explore the code base functionalities and learn how agentic chunking stands out by intelligently chunking data, providing better input for large language models. Stay tuned to see how various chunking and retrieval methods stack up in our rigorous tests!
Github: github.com/luukalleman/Agentic_RAG
Let's talk: www.everyman.ai/contact
00:00 Introduction: Is Your RAG System Up to Date?
00:04 Exploring Advanced Methods: Dynamic Search and Agentic Chunking
00:43 The Ultimate Setup for Accurate RAG Systems
00:56 Code Base Overview: Ingesting Data and Retrieval Methods
03:30 Understanding Chunking Methods: Static, Overlap, and Agentic
05:40 Retrieval Methods: Keyword, Similarity, and Dynamic Search
06:21 Deep Dive into the Code: Handlers, Processors, and Factories
13:44 Running the Tests: Which Combination Works Best?
14:23 Results and Conclusion: Agentic Chunking with Similarity Search
15:03 Final Thoughts and Future Directions
Переглядів: 256
Відео
The Easiest Way to Create an AI Agent
Переглядів 236День тому
Build AI Agents Easily with Just 30 Lines of Code! Discover how to simplify the process of building AI agents using the OpenAI Assistant API. In this tutorial, I walk you through creating a code wrapper around the API, allowing you to set up a functional AI agent in under 30 lines of code. Learn about the core elements like tools, system messages, and files; understand the structure of the proj...
Becoming an AI Developer in 2024: From Python Basics to AI Projects
Переглядів 1124 місяці тому
Ultimate Roadmap to Becoming an AI Developer in 2024: From Python Basics to AI Projects If you have basic Python skills and aspire to become an AI developer, this video is tailor-made for you. I am sharing my personal journey from having no coding experience to a working as an AI developer, thanks to resources like ChatGPT. Discover a step-by-step roadmap to mastering Python, using libraries an...
I Integrated AI Agents Into My Email, Here's What Happened
Переглядів 1514 місяці тому
Learn to automate your customer service emails using AI and Freshdesk. This tutorial by Luuk Alleman, founder of Everyman, walks you through implementing a system that handles incoming tickets, activates agent workflows, and generates responses using OpenAI. Save time and resources by integrating this solution into your business. Full code available on GitHub. Links to my website and LinkedIn i...
This Video Will Change How You Build AI Chatbots
Переглядів 1,9 тис.4 місяці тому
In this video, you'll learn how to build an AI customer service agent using Llama Index's new workflows. I will guide you through setting up the development environment, defining custom events, and creating a bot that can handle various customer inquiries. We'll cover everything from classifying customer queries to generating responses, ensuring you have a comprehensive understanding of buildin...
AI Agents for Fitness: A Complete Building Tutorial
Переглядів 2374 місяці тому
Building a Multifunctional AI Fitness and Wellness Agent with GPT-4 Github: github.com/luukalleman/UA-cam Website for contact: www.everyman.ai/consult In this comprehensive tutorial, learn how to create an AI agent focused on fitness and well-being using GPT-4 and a variety of libraries. The video covers setting up your environment, creating databases, and building multiple specialized agents f...
This gave me great dev ideas for Vapi AI +OpenAI agents 🙌
Would be cool! Happy to chat more :)
and by the way good informative video keep going. havnt seen you for a while. im happy that now i can see your video in 1080p :), love from india
Thanks! Appreciate it.
i dont have open ai subscription to have its api so can you suggest me a better free alternative
You could try to use an open source model. Check this page out: github.com/eugeneyan/open-llms
great video! mega useful, no complex code explanations. would love more videos with real use cases from you! subscribed
Thanks! That’s what I like to hear :)
great stuff, subbed
Appreciatie it!
finding that first customer is for real such a challenge. by the way, what do you use for the frontend? I was thinking about learning javascript but that takes a bit of time so not sure
Finding that first customer is for sure a real challenge. But once you’ve found your first one, you’ll create authority. I used expo in combination of javascript! But to be honest, I completely coded the app with the help of chatgpt, so I really just coded it using natural language haha
good one bro. keep going
Thanks man! ;)
can you make more projects so that i can add into my resume which will stand out and create a good impact. i am a fresher recently graduated and looking for job
Yes I will, thanks for the feedback, more projects incoming :)
thank you your vedio next time can you make 1080 * 1920 please and not 720P
Yes I will! Thanks for the feedback.
can you tell me how can we use gemini api instead of open ai because inorder to use the open ai api we need to take the paid subscription
Instead of importing openai from the llamaindex lib, you can import gemini, then use this when initiating it by replacing OpenAI with gemini! Let me know if you need any more help with this.
nice one bro, keep going looking forward to see more contents like this
Thanks man!
Great Video man! I am a bit overwhelmed by everything you're explaining here. Where should I start when I have just some basic understanding about how Python works. What are my next steps to "learn AI" and the stuff you're teaching in this video? Thanks!!
Thanks for the feedback! I’ll create a video about this soon. What I’m teaching in this video is indeed a bit complicated with just some basic python skills, for now I would suggest you start with getting a better understanding of how API’s work -> get used to LLM api calls -> build RAG systems -> build an agent. Core of the suggestion: just start, and you’ll get deeper understanding along the way. If you have any questions, let me know!
@@LuukAlleman Tysm for the detailed answer! I am hyped bout your next video!
Good stuff
Thanks Nick
Keep em coming!!!
Thanks Erwin, they will :)
Bro thanks you helped me so much. Never thought i would find a video about this. Look i was struggling for months now with this. Thanks to your video i finally made my dream come true of being a fitness coach. If u want to we could meet abd then u can help me more with this. Thank u luuk
It was a pleasure helping you to reach your dream Lenny!👌🏼
Amazing vid Luuk, waiting for more to come!
Thanks Erwin, appreciate it!
Great video man!
Appreciatie it!
Awesome video Luuk! I like your interactive Python setup 👀
Learned it from the best :)
Great idea. I'm constantly struggling with isolating time to plan out my fitness goals, so this is right up my alley. I'm going to give this a try!
That’s awesome to hear! Setting aside dedicated time for planning your fitness goals can make a huge difference in staying on track and achieving them.