RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python
5.0
(41)
This lecture covers RAG (Retrieval-Augmented Generation) system fundamentals and implementation using LangChain. Participants will understand RAG's core principles and learn to build and evaluate systems using LangChain.
초급
RAG, LangChain, LLM
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python
5.0
(41)
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain
4.9
(91)
Implementing a Retrieval-Augmented Generation (RAG) Intelligent AI Agent with LangGraph! From theory to practice, this is a hands-on tutorial that even beginners can easily follow.
초급
AI Agent, LangGraph, RAG
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain
4.9
(91)
Learning Python Chatbot & RAG through Projects - Using LangChain, Gradio
pdstudio
₩41
초급 / RAG, LangChain, LLM, ChatGPT, Chatbot, openAI API, gradio
4.9
(28)
Using Python's basic syntax and libraries, create your own AI chatbot. You will carry out 5 projects step-by-step, including PDF document-based RAG, and learn the process of deploying them as web services.
초급
RAG, LangChain, LLM
Learning Python Chatbot & RAG through Projects - Using LangChain, Gradio
pdstudio
₩41
초급 / RAG, LangChain, LLM, ChatGPT, Chatbot, openAI API, gradio
4.9
(28)
LLM Application Experience Sharing Session
inflearn
무료
입문 / LLM, RAG
4.8
(41)
This is the edited live video from the LLM Application Experience Sharing Session with knowledge sharer Kang Byung-jin :)
입문
LLM, RAG
LLM Application Experience Sharing Session
inflearn
무료
입문 / LLM, RAG
4.8
(41)
Developing LLM Applications Using RAG (feat. LangChain)
jasonkang
₩52
초급 / LLM, RAG, LangChain, vector-database, openAI API
4.9
(243)
RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.
초급
LLM, RAG, LangChain
Developing LLM Applications Using RAG (feat. LangChain)
jasonkang
₩52
초급 / LLM, RAG, LangChain, vector-database, openAI API
4.9
(243)
LLM Basics to Latest RAG·LangChain: Master LLM Fundamentals in Just 5 Hours!
leejinkyu0612
₩68
초급 / Chatbot, LLM, LangChain, RAG, openAI API
5.0
(8)
This is a course to master the core technologies of LLM basic theory, LangChain, and RAG. You can easily learn the latest AI technologies used in practice, from LLM basics!
초급
Chatbot, LLM, LangChain
LLM Basics to Latest RAG·LangChain: Master LLM Fundamentals in Just 5 Hours!
leejinkyu0612
₩68
초급 / Chatbot, LLM, LangChain, RAG, openAI API
5.0
(8)
Gen AI RAG Practical Guide, Complete Mastery of AI Chatbot Using Langchain
masocampus
₩69
초급 / LangChain, FastAPI, RAG, streamlit, openAI API
4.3
(6)
A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.
초급
LangChain, FastAPI, RAG
Gen AI RAG Practical Guide, Complete Mastery of AI Chatbot Using Langchain
masocampus
₩69
초급 / LangChain, FastAPI, RAG, streamlit, openAI API
4.3
(6)
(LLM Development) Building RAG Chatbots with LangChain and ChatGPT
leejinkyu0612
₩18
초급 / Chatbot, openAI API, RAG, LLM, LangChain, ChatGPT
3.0
(2)
-In just one day, create your own RAG chatbot. -Practice how to utilize ChatGPT API and Langchain. -Actually implement LLM-based AI chatbots such as ChatGPT. -Create a RAG chatbot, a current trend in the chatbot market.
초급
Chatbot, openAI API, RAG
(LLM Development) Building RAG Chatbots with LangChain and ChatGPT
leejinkyu0612
₩18
초급 / Chatbot, openAI API, RAG, LLM, LangChain, ChatGPT
3.0
(2)
Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph
aischool
₩59
중급이상 / LangGraph, AI Agent, LangChain, RAG, openAI API, LLM
4.9
(27)
AI Agent: A total integration of the latest AI technology! Implement various AI agents and learn to build your own AI agent using LangGraph.
중급이상
LangGraph, AI Agent, LangChain
Large Language Models LLM for Everyone Part 5 - Building Your Own AI Agent with LangGraph
aischool
₩59
중급이상 / LangGraph, AI Agent, LangChain, RAG, openAI API, LLM
4.9
(27)
Large Language Model LLM for Everyone Part 4 - Learning RAG Implementation by Building an AI Customer Service Chatbot (AICC)
aischool
₩59
중급이상 / LangChain, RAG, openAI API, LLM, Chatbot
4.5
(6)
This lecture covers building practical RAG (Retrieval-Augmented Generation) systems while developing an AI customer service chatbot (AICC).
중급이상
LangChain, RAG, openAI API
Large Language Model LLM for Everyone Part 4 - Learning RAG Implementation by Building an AI Customer Service Chatbot (AICC)
aischool
₩59
중급이상 / LangChain, RAG, openAI API, LLM, Chatbot
4.5
(6)
How to Become an AI Automation Expert Without Coding, Complete n8n Guide
nambaksa
₩53
입문 / n8n, AI, RAG, Generative AI, AI Agent
4.9
(106)
Do you still code directly these days? It's now an era where even vibe coding is bothersome! Become an AI automation expert with n8n, without coding. An automation workflow design guide immediately applicable to practical work. Practice-oriented automation strategies that maximize work efficiency. Build intuitive workflows with n8n and experience business innovation.
입문
n8n, AI, RAG
How to Become an AI Automation Expert Without Coding, Complete n8n Guide
nambaksa
₩53
입문 / n8n, AI, RAG, Generative AI, AI Agent
4.9
(106)
LLM Application In Production
grab
무료
초급 / LLM, RAG, mlops
4.8
(69)
This video shares the experience/know-how learned while building an LLM Application with over 200,000 MAU and the supporting LLMOps environment.
초급
LLM, RAG, mlops
LLM Application In Production
grab
무료
초급 / LLM, RAG, mlops
4.8
(69)
Creating Custom LLMs: From Basic RAG Concepts to Multimodal·Agent Practice for Beginners
leejinkyu0612
₩8
입문 / Python, vector-database, LLM, LangChain, RAG
5.0
(3)
RAG (Retrieval-Augmented Generation) from theory to the latest multimodal and agent-based RAG! This is a hands-on lecture designed to be understandable even for non-majors. From paper reviews to practical code implementation, it's designed so that even those encountering RAG for the first time can easily follow along.
입문
Python, vector-database, LLM
Creating Custom LLMs: From Basic RAG Concepts to Multimodal·Agent Practice for Beginners
leejinkyu0612
₩8
입문 / Python, vector-database, LLM, LangChain, RAG
5.0
(3)
Cognitive Load Management Technology Breaking Through the Limits of RAG Performance
arigaram
₩77
중급이상 / AI, ChatGPT, LLM, RAG, Generative AI
5.0
(1)
What should be done when building a generative AI or LLM-based RAG (Retrieval-Augmented Generation) system, but the desired performance isn't achieved and there's no suitable solution? This lecture presents methods to improve RAG performance based on Cognitive Load theory. Through this lecture, you will understand the limitations of LLM context windows and learn how to effectively manage cognitive load in RAG systems. It is a practical-level theoretical lecture covering Chunk size and structure design, high-quality Chunk generation techniques, dynamic optimization, performance evaluation, and practical techniques.
중급이상
AI, ChatGPT, LLM
Cognitive Load Management Technology Breaking Through the Limits of RAG Performance
arigaram
₩77
중급이상 / AI, ChatGPT, LLM, RAG, Generative AI
5.0
(1)
Large Language Models for All LLM Part 6 - Implementing AI Agents Using LangGraph Through Projects
aischool
₩59
중급이상 / LangGraph, AI Agent, LangChain, openAI API, RAG
4.5
(2)
I'm learning how to build practical AI agents using LangGraph while working on various AI agent implementation projects using LangGraph.
중급이상
LangGraph, AI Agent, LangChain
Large Language Models for All LLM Part 6 - Implementing AI Agents Using LangGraph Through Projects
aischool
₩59
중급이상 / LangGraph, AI Agent, LangChain, openAI API, RAG
4.5
(2)
graphRAG - Knowledge Graph-based RAG System Implementation with Neo4J (feat. LangChain)
pdstudio
₩110
초급 / RAG, LangChain, neo4j, LLM, DBMS/RDBMS
4.9
(19)
Knowledge Graph-Based RAG System in Neo4J: Next-Generation Search Leveraging Data Relationships Beyond Simple Vector Search Maximize RAG Performance using Graph DB Power!
초급
RAG, LangChain, neo4j
graphRAG - Knowledge Graph-based RAG System Implementation with Neo4J (feat. LangChain)
pdstudio
₩110
초급 / RAG, LangChain, neo4j, LLM, DBMS/RDBMS
4.9
(19)
Spring AI Practical Guide: Building a RAG Chatbot
sionicai
무료
입문 / Spring AI, LLM, RAG, Spring, Spring Boot
4.9
(14)
Learn the easiest way to handle AI with Spring AI. Let's learn Spring AI by building a RAG chatbot.
입문
Spring AI, LLM, RAG
Spring AI Practical Guide: Building a RAG Chatbot
sionicai
무료
입문 / Spring AI, LLM, RAG, Spring, Spring Boot
4.9
(14)