Mastering Retrieval-Augmented Generation (RAG)
Master RAG from Zero to Hero: Build Real-World AI with Retrieval-Augmented Generation
4.61 (33 reviews)
331
students
2.5 hours
content
Nov 2024
last update
$69.99
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What you will learn
Core principles of Retrieval-Augmented Generation (RAG) – Understand how RAG combines retrieval and generation for improved AI responses.
Implementing basic and advanced RAG architectures – Step-by-step guides to setting up RAG, Multi-Query RAG, RAG Fusion, and HyDE RAG.
Working with OpenAI embeddings and Pinecone – Practical exercises in connecting embeddings with vector databases for efficient retrieval.
Multi-query and RAG Fusion techniques – Learn strategies for better, contextually accurate answers through fusion and multi-query models.
Building and deploying RAG with FastAPI on Google Cloud Platform (GCP) – End-to-end deployment guidance for scalable RAG applications.
Prompt routing and database management – Gain experience with routing strategies and optimized content indexing for more efficient RAG systems.
Prompt caching and optimization techniques – Discover ways to reduce costs and improve response speed with caching in RAG models.
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udemy ID
9/26/2024
course created date
11/27/2024
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