Udemy - Complete RAG Bootcamp Build, Optimize, and Deploy AI Apps 2025-10
File List
- 8 - Real-World Use Cases/2 - 8.2 Security & Governance.mp4 257.1 MB
- 7 - Advanced & Hybrid RAG Techniques/3 - 7.3 Agentic RAG.mp4 243.9 MB
- 9 - Section 9/2 - 9.2 Capstone Project.mp4 243.2 MB
- 7 - Advanced & Hybrid RAG Techniques/2 - 7.2 Multi-Modal RAG.mp4 241.2 MB
- 8 - Real-World Use Cases/1 - 8.1 Enterprise & Industry RAG Solutions.mp4 238.4 MB
- 8 - Real-World Use Cases/3 - 8.3 Integrating RAG into Workflows.mp4 231.6 MB
- 9 - Section 9/1 - 9.1 RAG for Developers & Data Scientists.mp4 200.3 MB
- 6 - Deploying RAG Systems/3 - 6.3 Deployment & Scalability.mp4 162.6 MB
- 6 - Deploying RAG Systems/2 - 6.2 Backend APIs.mp4 160.1 MB
- 6 - Deploying RAG Systems/1 - 6.1 Front-End Integration.mp4 159.2 MB
- 3 - Working with Embeddings and Vector Databases/2 - 3.2 Introduction to Vector Databases.mp4 151.8 MB
- 7 - Advanced & Hybrid RAG Techniques/1 - 7.1 Hybrid Search (Keyword + Vector).mp4 149.5 MB
- 2 - Foundations of RAG Architecture/3 - 2.3 Putting It Together.mp4 142.5 MB
- 5 - Enhancing RAG Performance/3 - 5.3 Evaluation and Metrics.mp4 141.6 MB
- 3 - Working with Embeddings and Vector Databases/3 - 3.3 Building and Querying Vector Stores.mp4 131.0 MB
- 3 - Working with Embeddings and Vector Databases/1 - 3.1 What Are Embeddings.mp4 125.3 MB
- 4 - Section 4 Building RAG Pipelines with LangChain/1 - 4.1 LangChain Core Concepts.mp4 124.6 MB
- 5 - Enhancing RAG Performance/1 - 5.1 Advanced Retrieval Techniques.mp4 117.0 MB
- 5 - Enhancing RAG Performance/2 - 5.2 Optimizing Context and Prompts.mp4 115.1 MB
- 1 - Introduction to Retrieval-Augmented Generation/3 - 1.3 Applications of RAG.mp4 113.8 MB
- 4 - Section 4 Building RAG Pipelines with LangChain/2 - 4.2 RAG Implementation with LangChain.mp4 112.0 MB
- 1 - Introduction to Retrieval-Augmented Generation/1 - 1.1 What is RAG.mp4 109.4 MB
- 4 - Section 4 Building RAG Pipelines with LangChain/3 - 4.3 Adding Context and Metadata.mp4 109.3 MB
- 2 - Foundations of RAG Architecture/1 - 2.1 The Retrieval Process.mp4 107.3 MB
- 2 - Foundations of RAG Architecture/2 - 2.2 The Generation Process.mp4 95.0 MB
- 1 - Introduction to Retrieval-Augmented Generation/2 - 1.2 RAG System Overview.mp4 88.7 MB
- 9 - Section 9/2 - 9.2 Capstone Project.en_US.vtt 24.7 KB
- 7 - Advanced & Hybrid RAG Techniques/3 - 7.3 Agentic RAG.en_US.vtt 24.6 KB
- 7 - Advanced & Hybrid RAG Techniques/2 - 7.2 Multi-Modal RAG.en_US.vtt 24.2 KB
- 8 - Real-World Use Cases/2 - 8.2 Security & Governance.en_US.vtt 24.2 KB
- 8 - Real-World Use Cases/1 - 8.1 Enterprise & Industry RAG Solutions.en_US.vtt 24.2 KB
- 8 - Real-World Use Cases/3 - 8.3 Integrating RAG into Workflows.en_US.vtt 23.5 KB
- 9 - Section 9/1 - 9.1 RAG for Developers & Data Scientists.en_US.vtt 21.6 KB
- 7 - Advanced & Hybrid RAG Techniques/1 - 7.1 Hybrid Search (Keyword + Vector).en_US.vtt 15.8 KB
- 6 - Deploying RAG Systems/1 - 6.1 Front-End Integration.en_US.vtt 15.0 KB
- 6 - Deploying RAG Systems/2 - 6.2 Backend APIs.en_US.vtt 14.9 KB
- 6 - Deploying RAG Systems/3 - 6.3 Deployment & Scalability.en_US.vtt 14.8 KB
- 3 - Working with Embeddings and Vector Databases/2 - 3.2 Introduction to Vector Databases.en_US.vtt 13.4 KB
- 2 - Foundations of RAG Architecture/3 - 2.3 Putting It Together.en_US.vtt 13.2 KB
- 5 - Enhancing RAG Performance/3 - 5.3 Evaluation and Metrics.en_US.vtt 12.9 KB
- 3 - Working with Embeddings and Vector Databases/1 - 3.1 What Are Embeddings.en_US.vtt 12.5 KB
- 3 - Working with Embeddings and Vector Databases/3 - 3.3 Building and Querying Vector Stores.en_US.vtt 12.3 KB
- 4 - Section 4 Building RAG Pipelines with LangChain/1 - 4.1 LangChain Core Concepts.en_US.vtt 12.3 KB
- 5 - Enhancing RAG Performance/2 - 5.2 Optimizing Context and Prompts.en_US.vtt 11.8 KB
- 4 - Section 4 Building RAG Pipelines with LangChain/2 - 4.2 RAG Implementation with LangChain.en_US.vtt 11.5 KB
- 5 - Enhancing RAG Performance/1 - 5.1 Advanced Retrieval Techniques.en_US.vtt 11.1 KB
- 1 - Introduction to Retrieval-Augmented Generation/3 - 1.3 Applications of RAG.en_US.vtt 11.0 KB
- 1 - Introduction to Retrieval-Augmented Generation/1 - 1.1 What is RAG.en_US.vtt 10.7 KB
- 4 - Section 4 Building RAG Pipelines with LangChain/3 - 4.3 Adding Context and Metadata.en_US.vtt 10.6 KB
- 2 - Foundations of RAG Architecture/1 - 2.1 The Retrieval Process.en_US.vtt 10.0 KB
- 2 - Foundations of RAG Architecture/2 - 2.2 The Generation Process.en_US.vtt 9.2 KB
- 1 - Introduction to Retrieval-Augmented Generation/2 - 1.2 RAG System Overview.en_US.vtt 8.9 KB
- 7 - Advanced & Hybrid RAG Techniques/4 - Hands on Lab.html 8.3 KB
- 8 - Real-World Use Cases/4 - Hands on Lab.html 7.4 KB
- 5 - Enhancing RAG Performance/4 - Hands on Lab.html 7.3 KB
- 6 - Deploying RAG Systems/4 - Hands on Lab.html 6.9 KB
- 4 - Section 4 Building RAG Pipelines with LangChain/4 - Hands on Lab.html 6.3 KB
- 3 - Working with Embeddings and Vector Databases/4 - Hands on Lab.html 6.1 KB
- 2 - Foundations of RAG Architecture/4 - Hands on Lab.html 4.9 KB
- 1 - Introduction to Retrieval-Augmented Generation/4 - Hands on Lab.html 4.7 KB
- Readme.txt 148 bytes
Download Torrent
Related Resources
Copyright Infringement
If the content above is not authorized, please contact us via activebusinesscommunication[AT]gmail.com. Remember to include the full url in your complaint.