Udemy - Complete RAG Bootcamp Build, Optimize, and Deploy AI Apps 2025-10
File List
| File | Size |
|---|---|
| Readme.txt | 148 B |
| 1 - Introduction to Retrieval-Augmented Generation/4 - Hands on Lab.html | 4.69 KB |
| 2 - Foundations of RAG Architecture/4 - Hands on Lab.html | 4.93 KB |
| 3 - Working with Embeddings and Vector Databases/4 - Hands on Lab.html | 6.1 KB |
| 4 - Section 4 Building RAG Pipelines with LangChain/4 - Hands on Lab.html | 6.35 KB |
| 6 - Deploying RAG Systems/4 - Hands on Lab.html | 6.9 KB |
| 5 - Enhancing RAG Performance/4 - Hands on Lab.html | 7.34 KB |
| 8 - Real-World Use Cases/4 - Hands on Lab.html | 7.39 KB |
| 7 - Advanced & Hybrid RAG Techniques/4 - Hands on Lab.html | 8.29 KB |
| 1 - Introduction to Retrieval-Augmented Generation/2 - 1.2 RAG System Overview.en_US.vtt | 8.91 KB |
| 2 - Foundations of RAG Architecture/2 - 2.2 The Generation Process.en_US.vtt | 9.17 KB |
| 2 - Foundations of RAG Architecture/1 - 2.1 The Retrieval Process.en_US.vtt | 10.02 KB |
| 4 - Section 4 Building RAG Pipelines with LangChain/3 - 4.3 Adding Context and Metadata.en_US.vtt | 10.58 KB |
| 1 - Introduction to Retrieval-Augmented Generation/1 - 1.1 What is RAG.en_US.vtt | 10.75 KB |
| 1 - Introduction to Retrieval-Augmented Generation/3 - 1.3 Applications of RAG.en_US.vtt | 10.97 KB |
| 5 - Enhancing RAG Performance/1 - 5.1 Advanced Retrieval Techniques.en_US.vtt | 11.1 KB |
| 4 - Section 4 Building RAG Pipelines with LangChain/2 - 4.2 RAG Implementation with LangChain.en_US.vtt | 11.54 KB |
| 5 - Enhancing RAG Performance/2 - 5.2 Optimizing Context and Prompts.en_US.vtt | 11.84 KB |
| 4 - Section 4 Building RAG Pipelines with LangChain/1 - 4.1 LangChain Core Concepts.en_US.vtt | 12.25 KB |
| 3 - Working with Embeddings and Vector Databases/3 - 3.3 Building and Querying Vector Stores.en_US.vtt | 12.26 KB |
| 3 - Working with Embeddings and Vector Databases/1 - 3.1 What Are Embeddings.en_US.vtt | 12.55 KB |
| 5 - Enhancing RAG Performance/3 - 5.3 Evaluation and Metrics.en_US.vtt | 12.89 KB |
| 2 - Foundations of RAG Architecture/3 - 2.3 Putting It Together.en_US.vtt | 13.18 KB |
| 3 - Working with Embeddings and Vector Databases/2 - 3.2 Introduction to Vector Databases.en_US.vtt | 13.41 KB |
| 6 - Deploying RAG Systems/3 - 6.3 Deployment & Scalability.en_US.vtt | 14.78 KB |
| 6 - Deploying RAG Systems/2 - 6.2 Backend APIs.en_US.vtt | 14.9 KB |
| 6 - Deploying RAG Systems/1 - 6.1 Front-End Integration.en_US.vtt | 15 KB |
| 7 - Advanced & Hybrid RAG Techniques/1 - 7.1 Hybrid Search (Keyword + Vector).en_US.vtt | 15.78 KB |
| 9 - Section 9/1 - 9.1 RAG for Developers & Data Scientists.en_US.vtt | 21.59 KB |
| 8 - Real-World Use Cases/3 - 8.3 Integrating RAG into Workflows.en_US.vtt | 23.5 KB |
| 8 - Real-World Use Cases/1 - 8.1 Enterprise & Industry RAG Solutions.en_US.vtt | 24.15 KB |
| 8 - Real-World Use Cases/2 - 8.2 Security & Governance.en_US.vtt | 24.18 KB |
| 7 - Advanced & Hybrid RAG Techniques/2 - 7.2 Multi-Modal RAG.en_US.vtt | 24.25 KB |
| 7 - Advanced & Hybrid RAG Techniques/3 - 7.3 Agentic RAG.en_US.vtt | 24.62 KB |
| 9 - Section 9/2 - 9.2 Capstone Project.en_US.vtt | 24.75 KB |
| 1 - Introduction to Retrieval-Augmented Generation/2 - 1.2 RAG System Overview.mp4 | 88.74 MB |
| 2 - Foundations of RAG Architecture/2 - 2.2 The Generation Process.mp4 | 94.96 MB |
| 2 - Foundations of RAG Architecture/1 - 2.1 The Retrieval Process.mp4 | 107.3 MB |
| 4 - Section 4 Building RAG Pipelines with LangChain/3 - 4.3 Adding Context and Metadata.mp4 | 109.29 MB |
| 1 - Introduction to Retrieval-Augmented Generation/1 - 1.1 What is RAG.mp4 | 109.41 MB |
| 4 - Section 4 Building RAG Pipelines with LangChain/2 - 4.2 RAG Implementation with LangChain.mp4 | 111.96 MB |
| 1 - Introduction to Retrieval-Augmented Generation/3 - 1.3 Applications of RAG.mp4 | 113.8 MB |
| 5 - Enhancing RAG Performance/2 - 5.2 Optimizing Context and Prompts.mp4 | 115.14 MB |
| 5 - Enhancing RAG Performance/1 - 5.1 Advanced Retrieval Techniques.mp4 | 117.03 MB |
| 4 - Section 4 Building RAG Pipelines with LangChain/1 - 4.1 LangChain Core Concepts.mp4 | 124.55 MB |
| 3 - Working with Embeddings and Vector Databases/1 - 3.1 What Are Embeddings.mp4 | 125.33 MB |
| 3 - Working with Embeddings and Vector Databases/3 - 3.3 Building and Querying Vector Stores.mp4 | 130.98 MB |
| 5 - Enhancing RAG Performance/3 - 5.3 Evaluation and Metrics.mp4 | 141.63 MB |
| 2 - Foundations of RAG Architecture/3 - 2.3 Putting It Together.mp4 | 142.53 MB |
| 7 - Advanced & Hybrid RAG Techniques/1 - 7.1 Hybrid Search (Keyword + Vector).mp4 | 149.47 MB |
| 3 - Working with Embeddings and Vector Databases/2 - 3.2 Introduction to Vector Databases.mp4 | 151.84 MB |
| 6 - Deploying RAG Systems/1 - 6.1 Front-End Integration.mp4 | 159.24 MB |
| 6 - Deploying RAG Systems/2 - 6.2 Backend APIs.mp4 | 160.11 MB |
| 6 - Deploying RAG Systems/3 - 6.3 Deployment & Scalability.mp4 | 162.62 MB |
| 9 - Section 9/1 - 9.1 RAG for Developers & Data Scientists.mp4 | 200.27 MB |
| 8 - Real-World Use Cases/3 - 8.3 Integrating RAG into Workflows.mp4 | 231.56 MB |
| 8 - Real-World Use Cases/1 - 8.1 Enterprise & Industry RAG Solutions.mp4 | 238.42 MB |
| 7 - Advanced & Hybrid RAG Techniques/2 - 7.2 Multi-Modal RAG.mp4 | 241.19 MB |
| 9 - Section 9/2 - 9.2 Capstone Project.mp4 | 243.24 MB |
| 7 - Advanced & Hybrid RAG Techniques/3 - 7.3 Agentic RAG.mp4 | 243.89 MB |
| 8 - Real-World Use Cases/2 - 8.2 Security & Governance.mp4 | 257.13 MB |
Trackers
No trackers found.