2025 Agentic RAG with LangChain and LangGraph Ollama

2025 Agentic RAG with LangChain and LangGraph – Ollama
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

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.
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
Who this course is for:
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