4.6
Intermediate
4h
Updated 3 months ago
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.
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 RAG-Fusion and cross encoder reranking, to refine and enhance retrieved data.
Finally, you’ll work on a practical project to build a fully functional RAG application, applying advanced pre- and post-retrieval optimization techniques. After completing this course, you’ll have the expertise to design intelligent, scalable systems that harness the full potential of RAG.
Master advanced retrieval-augmented Generation (RAG) techniques in this comprehensive course for experienced learners. You’ll ga...Show More
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
A deep understanding of retrieval-augmented generation (RAG) and its ability to enhance the accuracy of large language models
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TAKEAWAY SKILLS
Content
1.
Getting Started
2 Lessons
Get familiar with RAG to enhance factual accuracy and build robust NLP applications.
2.
Introduction to Retrieval-Augmented Generation (RAG)
6 Lessons
Look at the integration of retrieval-based and generative models for enhanced NLP tasks.
3.
Advanced RAG: Pre-Retrieval (Optimizing Indexing)
7 Lessons
Break apart strategies to optimize indexing, chunking, and data cleaning for efficient retrieval.
4.
Advanced RAG: Pre-Retrieval (Optimizing Query)
8 Lessons
Break down complex ideas in pre-retrieval query optimization for enhanced RAG accuracy.
5.
Advanced RAG: Post-Retrieval Process
4 Lessons
Enhance RAG response quality with post-retrieval optimization, RAG-fusion, and Cross Encoder reranking.
Certificate of Completion
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