Udemy - RAG (Retrieval-Augmented Generation) and Private AI Strategy

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Udemy - RAG (Retrieval-Augmented Generation) and Private AI Strategy (Size: 1.6 GB)
  Bonus Resources.txt 102.4 B
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  1 - Introduction to RAG The Missing Piece in Enterprise AI
  1. The Problem Why ChatGPT Doesn't Know Your Company.mp4 45.1 MB
  2 - What is RAG Core Concepts Without the Math
  3 - Business Benefits Accuracy Control and Up to Date Knowledge
  10. Traceability Citations and Source References.mp4 49.6 MB
  4 - How Non Technical People Can Use RAG TODAY
  11. Category 1 Personal RAG (Ad hoc Tools).mp4 42.7 MB
  12. Category 2 Corporate Search Engines (Enterprise Search).mp4 62.4 MB
  13. Category 3 RAG Builders (Low Code Custom).mp4 38.3 MB
  14. Decision Framework Which Category Do You Need.mp4 26.8 MB
  5 - Enterprise Use Cases for RAG
  15. Internal Knowledge Bases HR IT Operations Manuals.mp4 79.3 MB
  16. Customer Support Technical Documentation and Product Guides.mp4 68.9 MB
  17. Research and Analysis Legal Compliance Market Research.mp4 73.4 MB
  18. Sales Enablement RFP Responses Competitive Intelligence.mp4 55.2 MB
  19. Mini Exercise Identify 3 Document Heavy Processes in Your Company.mp4 31.3 MB
  6 - Limitations and When RAG Isn't Enough
  20. Retrieval Quality Garbage In Garbage.mp4 44.1 MB
  21. Context Window Limits Too Much or Too Little Information.mp4 36.8 MB
  22. When to Use RAG vs Fine Tuning vs Hybrid Approaches.mp4 39.9 MB
  7 - Working with Teams RAG Implementation Without Coding
  23. How to Specify RAG Requirements to IT Teams.mp4 83.9 MB
  24. Document Preparation What Makes Good RAG Data.mp4 112.7 MB
  25. Common Platforms Pinecone Weaviate LangChain (High Level).mp4 87.4 MB
  26. Course Recap What have we learnt.mp4 67.6 MB
  7. Accuracy Answers Grounded in Your Documents.mp4 65.6 MB
  8. Control You Decide What Data AI Can Access.mp4 97.7 MB
  9. Always Current Update Documents Not Models.mp4 36.2 MB
  4. The Two Step Process Retrieve Then Generate.mp4 66.9 MB
  5. How RAG Finds Relevant Information (Embeddings Explained Simply).mp4 87.8 MB
  6. Why RAG Reduces Hallucinations and Improves Accuracy.mp4 109.4 MB
  2. What Goes Wrong Hallucinations Outdated Info Generic Answers.mp4 48.4 MB
  3. The Solution RAG Brings Your Documents to AI.mp4 67 MB

Description


RAG (Retrieval-Augmented Generation) & Private AI Strategy

https://WebToolTip.com

Published 1/2026
Created by Data Universe
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 26 Lectures ( 2h 11m ) | Size: 1.6 GB

Master Vector Databases, Semantic Search & Data Prep. Mitigate Hallucinations & chat with your Private Data securely.

What you'll learn
✓ Understand how RAG bridges the gap between generic AI models and your company's private data to provide accurate, business-specific answers without retraining
✓ Identify and evaluate high-impact use cases for RAG within your organization, from customer support bots to internal knowledge management assistants
✓ Learn the fundamental components of RAG, including document preparation, vector databases, and retrieval, to communicate effectively with technical teams
✓ Build a strategic roadmap and business case for RAG implementation, ensuring data privacy, security, and measurable ROI for your AI initiatives
✓ Master the criteria to select and prepare internal documents, ensuring high-quality data input for reliable and relevant AI-generated responses
✓ Understand the importance of vector databases and semantic search in the RAG architecture to improve information retrieval beyond keyword matching
✓ Mitigate AI hallucinations and security risks by implementing verification layers and citing sources to maintain trust and accuracy in business outputs
✓ Learn to evaluate RAG system performance using specific metrics to ensure your AI assistant evolves with your organization’s knowledge and needs

Requirements
● This course is designed for everyone and requires no previous technical background or programming skills because we explain every concept from a functional and business perspective
● Having basic business notions and a general familiarity with office software is helpful but not mandatory for successfully completing all the lessons and exercises
● You only need a standard computer and a basic curiosity

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