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[ WebToolTip com ] Udemy - The Complete Langchain and Rag Developer Course 2026

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[ WebToolTip com ] Udemy - The Complete Langchain and Rag Developer Course 2026

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Name:[ WebToolTip com ] Udemy - The Complete Langchain and Rag Developer Course 2026

Infohash: A8C7A34B584AF8EF3C6579120A7576583975480A

Total Size: 2.31 GB

Seeds: 7

Leechers: 3

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2026-07-16 15:20:10 (Update Now)

Torrent added: 2026-07-16 15:20:06






Torrent Files List


Get Bonus Downloads Here.url (Size: 2.31 GB) (Files: 41)

 Get Bonus Downloads Here.url

0.18 KB

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  1 - Introduction

   1 - Introduction.mp4

145.58 MB

  2 - Module 1 Rag Foundations Langchain Kickstart

   2 - Why Rag Changes Everything Beyond Traditional Llms.mp4

39.54 MB

   3 - Understanding The Complete Rag Architecture.mp4

49.52 MB

   4 - Langchain Fundamentals Made Simple.mp4

43.17 MB

   5 - Generate Configure Your Openai Api Key.mp4

18.39 MB

   6 - Professional Project Setup With Virtual Environments.mp4

39.83 MB

   7 - Your First Working Llm App.mp4

96.83 MB

  3 - Module 2 Document Loading Multiformat Data Ingestion

   10 - Reading Processing Docx Files.mp4

18.20 MB

   11 - Realworld Docx Integration Project.mp4

104.12 MB

   12 - Working With Structured Csv Data.mp4

11.35 MB

   13 - Build A Csv Data Loader Stepbystep.mp4

54.11 MB

   8 - Pdf Processing Fundamentals For Rag.mp4

24.45 MB

   9 - Handson Pdf Extraction With Langchain.mp4

107.38 MB

  4 - Module 3 Smart Text Chunking Strategies Optimization

   14 - Why Chunking Is Critical For Rag Systems.mp4

13.89 MB

   15 - Mastering Langchain Text Splitters.mp4

62.04 MB

   16 - Popular Chunking Strategies Compared.mp4

29.90 MB

   17 - Recursive Chunking Deep Dive Industry Standard.mp4

58.71 MB

  5 - Module 4 Embeddings Semantic Search Vector Databases

   18 - Embeddings Explained Visually Intuitively.mp4

18.67 MB

   19 - How Semantic Similarity Search Actually Works.mp4

13.63 MB

   20 - Using Embedding Models In Langchain.mp4

12.57 MB

   21 - Vector Databases Explained For Beginners.mp4

13.09 MB

   22 - Handson With Faiss Vector Store.mp4

249.22 MB

   23 - Building Ai Search With Chromadb.mp4

115.35 MB

  6 - Module 5 Langchain Runnables Ai Pipeline Composition

   24 - Understanding Langchain Runnables.mp4

19.30 MB

   25 - Master Runnable Passthrough.mp4

24.88 MB

   26 - Creating Custom Logic With Runnable Lambda.mp4

39.43 MB

   27 - Parallel Execution With Runnable Parallel.mp4

49.23 MB

   28 - Build Powerful Chains Using Pipe Operators.mp4

41.38 MB

  7 - Module 6 Build A Complete Endtoend Rag Application

   29 - Complete Rag Workflow Recap.mp4

21.36 MB

   30 - Load Real Documents Into Your Pipeline.mp4

144.61 MB

   31 - Chunk Documents For Maximum Retrieval Accuracy.mp4

77.41 MB

   32 - Generate Highquality Embeddings.mp4

44.14 MB

   33 - Build A Semantic Retriever.mp4

128.06 MB

   34 - Create Your Runnablebased Ai Chain.mp4

54.68 MB

   35 - Combine Lambda Functions Advanced Runnables.mp4

70.94 MB

   36 - Prompt Engineering For Better Ai Responses.mp4

71.71 MB

   37 - Structured Output Parsing With Pydantic.mp4

103.23 MB

   38 - Assemble The Full Production Rag Pipeline.mp4

39.39 MB

   39 - Run Test Validate Your Ai Application.mp4

100.44 MB

  Bonus Resources.txt

0.07 KB
 

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