Advanced RAG Techniques: Choosing the Right Approach

Learn advanced RAG techniques in this advanced RAG course. Explore pre- and post-retrieval optimization with LangChain, and build intelligent, scalable applications with hands-on projects.

Intermediate

28 Lessons

Certificate of Completion

Learn advanced RAG techniques in this advanced RAG course. Explore pre- and post-retrieval optimization with LangChain, and build intelligent, scalable applications with hands-on projects.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

1 Project

23 Playgrounds

This course includes

1 Project

23 Playgrounds

Course Overview

Master advanced retrieval-augmented Generation (RAG) techniques in this comprehensive course for experienced learners. You’ll gain hands-on experience implementing advanced RAG systems with LangChain, equipping you to create intelligent, efficient AI applications. The course begins by revisiting the core principles of RAG and then dives into pre-retrieval optimization techniques, focusing on strategies like indexing and query formulation. Next, you’ll explore post-retrieval optimization methods, such as RA...Show More

TAKEAWAY SKILLS

Generative Ai

Natural Language Processing

What You'll Learn

A deep understanding of retrieval-augmented generation (RAG) and its ability to enhance the accuracy of large language models

Mastery of advanced RAG implementation approaches and the ability to choose the right method for specific applications

Hands-on experience building RAG systems using LangChain

Proficiency in pre-retrieval optimization techniques, such as indexing and query formulation

An understanding of post-retrieval optimization methods, including RAG-Fusion and Cross Encoder reranking

The ability to design and implement RAG-based chatbots and other intelligent systems

What You'll Learn

A deep understanding of retrieval-augmented generation (RAG) and its ability to enhance the accuracy of large language models

Course Content

Getting Started

Get familiar with RAG to enhance factual accuracy and build robust NLP applications.

Introduction to the Course

Course Structure

Introduction to Retrieval-Augmented Generation (RAG)

Look at the integration of retrieval-based and generative models for enhanced NLP tasks.

What Is RAG?Naive RAG: The Simplest Retrieval-Generative Integration Advanced RAG: Enhancing Model Efficiency and Accuracy Modular RAG: Building Flexible RAG Pipelines Choosing the Best Approach for Your RAG Application Quiz: Introduction to RAG

Advanced RAG: Pre-Retrieval (Optimizing Indexing)

Break apart strategies to optimize indexing, chunking, and data cleaning for efficient retrieval.

What Is Pre-Retrieval Optimizing Indexing?Chunking Strategies for Efficient Text Processing Improving Data Granularity Through Data Cleaning Multi-Representation Indexing for Enhanced Search Results Self-Querying Retrieval (SQR): Automating Query Formulation Parent Document Retrieval (PDR): Structuring Hierarchical Data Quiz: Pre-Retrieval Techniques for Optimizing Indexing

Advanced RAG: Pre-Retrieval (Optimizing Query)

Break down complex ideas in pre-retrieval query optimization for enhanced RAG accuracy.

What Is Pre-Retrieval Query Optimization?

Multi-Query Techniques for Complex Information Retrieval Query Decomposition for Better Precision Step-Back Prompting: Adjusting Queries Dynamically

Hypothetical Document Embeddings (HyDE): Simulating Context Semantic Routing: Directing Queries Based on Intent Routing with LLM-Based Classifiers for Complex Tasks Quiz: Pre-Retrieval Techniques for Optimizing Query

Build a RAG Using LangChain with Google Gemini

Project

Advanced RAG: Post-Retrieval Process

Enhance RAG response quality with post-retrieval optimization, RAG-fusion, and Cross Encoder reranking.

What Is Post-Retrieval Optimization?

Using RAG-Fusion for Better Context Cross Encoder Reranking Explained Quiz: Post-Retrieval Techniques for Advanced RAG

Talk to Your Web Page: A RAG-Powered Chat Interface

Project

Conclusion

1 Lesson

See how it works integrating RAG techniques for enhanced NLP applications and community engagement.

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

Hands-on Learning Powered by AI

See how Educative uses AI to make your learning more immersive than ever before.

Instant Code Feedback

Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

AI-Powered Mock Interviews

Put your skills to the test in a simulated interview setting. Receive personalized feedback based on your performance. Available in Premium & Premium Plus plans.

Adaptive Learning

At various checkpoints throughout Educative courses, you will be prompted to take a quick assessment. Receive a condensed curriculum tailored to your strengths and skill gaps.

Explain with AI

Select any text within any Educative course, and get an instant explanation — without ever leaving your browser.

AI Code Mentor

AI Code Mentor helps you quickly identify errors in your code, learn from your mistakes, and nudge you in the right direction — just like a 1:1 tutor!