AgentofHeart
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2025 Agentic RAG with LangChain and LangGraph - Ollama
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 5.18 GB | Duration: 7h 21m
Step-by-Step Guide to RAG with LangChain, LangGraph, and Ollama | DeepSeek R1, QWEN, LLAMA, FAISS, Doclings, VectorDB
What you'll learn
Understand RAG Concepts: Learn the basics of Retrieval-Augmented Generation (RAG) and how it enhances AI systems by combining retrieval and generation.
Work with LangChain and LangGraph: Master the use of LangChain and LangGraph to build AI workflows and integrate tools seamlessly.
Build Smart RAG Systems: Create intelligent and adaptive RAG systems using techniques like agentic, corrective, adaptive, and self-improving methods.
Deploy AI in Production: Gain the skills to deploy RAG-based AI solutions effectively using tools like Streamlit and AWS EC2.
Requirements
Basic Programming Knowledge: Familiarity with Python is helpful, but beginners can also follow along with practice.
Curiosity to Learn: A willingness to explore AI concepts and build hands-on projects is all you need!
System Requirements: A computer with internet access and the ability to install Python and required libraries/tools.
Description
Learn how to build smart AI systems using LangChain, LangGraph, Ollama, and OpenAI! This course will teach you how to create Retrieval-Augmented Generation (RAG) systems step by step. If you are a beginner or have some experience in AI, this course is perfect for you.What You Will Learn:Ollama Setup: Learn how to set up and use Ollama for your AI models.LangChain and LangGraph Basics: Understand these tools and how to use them together.Document Loader (Doclings): Easily load and prepare documents for your AI system.Vector Stores and Retrievals: Use databases to find and retrieve information quickly.Agentic RAG: Build AI systems that can act like smart assistants.Why Take This Course?This course makes complex topics easy to understand. You will practice with real-world examples and build your own AI solutions by the end of the course. You'll also gain hands-on experience with the latest tools in generative AI and become confident in building practical, production-ready applications.Whether you're a student, developer, or tech enthusiast, this course equips you with the skills to bring AI ideas to life. With clear explanations, guided projects, and expert tips, you'll be ready to create innovative AI products that solve real-world problems.Start your journey to creating smarter and more powerful AI systems today!
Who this course is for:
Beginners in AI: Those who want to explore how AI works and learn step-by-step how to build intelligent systems., Developers and Programmers: Individuals with a basic knowledge of Python who want to dive into RAG (Retrieval-Augmented Generation) and work with tools like LangChain and LangGraph., Data Scientists and ML Enthusiasts: Professionals or students eager to expand their skills in creating smart, adaptive, and production-ready AI solutions., Tech Hobbyists and Curious Learners: Anyone passionate about AI and interested in building innovative systems without prior advanced knowledge.
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