Udemy - Enterprise RAG (Retrieval-Augmented Generation) Frameworks
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1.5 GB
- Uploaded Byfreecoursewb
- Downloads38
- Last checkedJul. 25th '26
- Date uploadedJul. 25th '26
- Seeders 0
- Leechers6
Infohash : 1FE87EAFE3D39732169E2F9F10557C31EF889CC3
Enterprise RAG (Retrieval-Augmented Generation) Frameworks
https://WebToolTip.com
Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 42m | Size: 1.46 GB
Build scalable, governed RAG systems using hybrid retrieval, vector databases, LangChain, LlamaIndex, and GraphRAG.
What you'll learn
Design end-to-end RAG pipelines separating offline data indexing from online query execution.
Process heterogeneous enterprise documents using layout-aware parsing and robust extraction methods.
Implement semantic, fixed-size, and parent-document chunking strategies for optimal retrieval.
Deploy hybrid retrieval systems combining dense vector search and BM25 sparse lexical retrieval.
Apply cross-encoder reranking to elevate precision and filter irrelevant context before generation.
Utilize advanced patterns including HyDE, multi-query expansion, and GraphRAG for complex queries.
Enforce document-level access control, metadata filtering, and PII redaction inside the vector store.
Evaluate RAG systems using context precision, recall, and the RAGAS framework with LLM judges.
Requirements
Basic understanding of large language models (LLMs) and natural language processing concepts.
Familiarity with Python programming and API integrations.
Fundamental knowledge of database operations; prior vector database experience is beneficial but not strictly required.
Files:
[ WebToolTip.com ] Udemy - Enterprise RAG (Retrieval-Augmented Generation) Frameworks- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Foundations and the Enterprise Case for RAG
- 1 - Why Enterprise RAG Retrieval versus Fine-Tuning and Long Context (Description).html (1.7 KB)
- 1 - Why Enterprise RAG Retrieval versus Fine-Tuning and Long Context.mp4 (146.0 MB)
- 2 - Anatomy of an Enterprise RAG System (Description).html (1.6 KB)
- 2 - Anatomy of an Enterprise RAG System.mp4 (112.4 MB)
- 2 - Cheat_Sheet_Section_1.pdf (29.4 KB)
- 1 - Knowledge Check.html (22.7 KB)
- 3 - Document Parsing and Preprocessing at Scale (Description).html (1.7 KB)
- 3 - Document Parsing and Preprocessing at Scale.mp4 (125.5 MB)
- 4 - Chunking Strategies (Description).html (1.6 KB)
- 4 - Chunking Strategies.en_US.srt (12.3 KB)
- 4 - Chunking Strategies.mp4 (123.2 MB)
- 5 - Cheat_Sheet_Section_2.pdf (29.1 KB)
- 5 - Embedding Models and Vector Databases (Description).html (1.6 KB)
- 5 - Embedding Models and Vector Databases.en_US.srt (13.1 KB)
- 5 - Embedding Models and Vector Databases.mp4 (130.7 MB)
- 2 - Knowledge Check.html (22.9 KB)
- 6 - Dense, Sparse, and Hybrid Retrieval with Reranking (Description).html (1.7 KB)
- 6 - Dense, Sparse, and Hybrid Retrieval with Reranking.mp4 (103.8 MB)
- 7 - Advanced RAG Patterns (Description).html (1.6 KB)
- 7 - Advanced RAG Patterns.en_US.srt (10.8 KB)
- 7 - Advanced RAG Patterns.mp4 (111.9 MB)
- 8 - Cheat_Sheet_Section_3.pdf (24.7 KB)
- 8 - GraphRAG and Agentic RAG (Description).html (1.7 KB)
- 8 - GraphRAG and Agentic RAG.en_US.srt (13.4 KB)
- 8 - GraphRAG and Agentic RAG.mp4 (132.5 MB)
- 10 - Access Control, Governance, and Guardrails (Description).html (1.7 KB)
- 10 - Access Control, Governance, and Guardrails.en_US.srt (14.2 KB)
- 10 - Access Control, Governance, and Guardrails.mp4 (123.8 MB)
- 10 - Cheat_Sheet_Section_4.pdf (25.8 KB)
- 3 - Knowledge Check.html (23.2 KB)
- 9 - Framework Landscape and Orchestration (Description).html (1.7 KB)
- 9 - Framework Landscape and Orchestration.mp4 (136.3 MB)
- 11 - Evaluating RAG Quality (Description).html (1.6 KB)
- 11 - Evaluating RAG Quality.mp4 (123.4 MB)
- 12 - Cheat_Sheet_Section_5.pdf (23.7 KB)
- 12 - Glossary_Enterprise_RAG.pdf (24.1 KB)
- 12 - Observability, Cost, Latency, and Scaling (Description).html (1.6 KB)
- 12 - Observability, Cost, Latency, and Scaling.en_US.srt (14.0 KB)
- 12 - Observability, Cost, Latency, and Scaling.mp4 (121.8 MB)
- 4 - Knowledge Check.html (22.0 KB)
- Bonus Resources.txt (0.1 KB)
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