- Promoted by: Anonymous
- Platform: Udemy
- Category: Other IT & Software
- Language: English
- Instructor: Soumen Kumar Mondal
- Duration: 2 hour(s) 30 minute(s)
- Student(s): 2,465
- Rate 4.4 Of 5 From 54 Votes
- Expired on December 29, 2024
- Price: 44.99
Concept and Hands-on Vector RAG, Graph RAG, Self-Reflective RAG. RAG with Streamlit LangChain, Neo4J, Agent RAG
Unlock your potential with a coupon code
for the "Advance RAG : Vector to Graph RAG Neo4j Adaptive AutoGen RAG" course by Soumen Kumar Mondal on Udemy.
This course, boasting a 4.4-star rating from 54 reviews
and with 2,465 enrolled students, provides comprehensive training in Other IT & Software.
Spanning approximately
2 hour(s)
30 minute(s)
, this course is delivered in English
and we updated the information on December 29, 2024.
To get your free access, find the coupon code at the end of this article. Happy learning!
In this course, you will learn how to master Retrieval-Augmented Generation (RAG), a cutting-edge AI technique that combines retrieval-based methods with generative models. This course is designed for developers, data scientists, and AI enthusiasts, quality engineers, Students who want to build practical applications using RAG, ranging from simple vector RAG chatbot to advanced chatbot with Graph RAG and Self Reflective RAG. You'll explore the theoretical foundations, practical implementations, and real-world use cases of RAG. By the end of this course, you will have the skills to create RAG-based AI applications.
After completing the course, you will be able to create chatbot with multiple RAG techniques using Streamlit, LangChain, LangGraph, Groq API and many more. Along with that you will also learn fundamentals and concepts.
Course Objectives
Understand the fundamental concepts of RAG and NLP.
Understand concepts of NLP with examples like tokenization, chunking, TF-IDF, embedding.
Understand evaluation of NLP models from rule based to transformer model.
Understand transformer model and components with examples.
Environment setup for hands on implementation.
Build first chatbot with Streamlit and Langchain.
Build a vector RAG with Streamlit chatbot with Groq API.
Understand Graph RAG and implement Graph RAG with Neo4j.
Understand Self Reflective or Adaptive RAG and implement with LangGraph.
Real world use cases of RAG.
Re-ranking RAG technique
Agentic RAG or Agent based RAG. AutoGen RAG.
Check your understanding with Quizzes.
Lets deep dive into world of RAG to understand it.
If the coupon code expired for this offer, or the link is not working, let us know. We appreciate your cooperation!