Udemy - The Complete Langchain and Rag Developer Course 2026
Seeders : 16 Leechers : 2
| Torrent Hash : | A8C7A34B584AF8EF3C6579120A7576583975480A |
| Torrent Added : | at June 20, 2026, 1:17 a.m. in Other |
| Torrent Size : | 102 bytes |
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Udemy - The Complete Langchain and Rag Developer Course 2026
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Udemy - The Complete Langchain and Rag Developer Course 2026
Bonus Resources.txt -
Get Bonus Downloads Here.url -
1 - Introduction.mp4 -
2 - Why Rag Changes Everything Beyond Traditional Llms.mp4 -
10 - Reading Processing Docx Files.mp4 -
11 - Realworld Docx Integration Project.mp4 -
12 - Working With Structured Csv Data.mp4 -
13 - Build A Csv Data Loader Stepbystep.mp4 -
14 - Why Chunking Is Critical For Rag Systems.mp4 -
15 - Mastering Langchain Text Splitters.mp4 -
16 - Popular Chunking Strategies Compared.mp4 -
17 - Recursive Chunking Deep Dive Industry Standard.mp4 -
18 - Embeddings Explained Visually Intuitively.mp4 -
19 - How Semantic Similarity Search Actually Works.mp4 -
20 - Using Embedding Models In Langchain.mp4 -
21 - Vector Databases Explained For Beginners.mp4 -
22 - Handson With Faiss Vector Store.mp4 -
23 - Building Ai Search With Chromadb.mp4 -
24 - Understanding Langchain Runnables.mp4 -
25 - Master Runnable Passthrough.mp4 -
26 - Creating Custom Logic With Runnable Lambda.mp4 -
27 - Parallel Execution With Runnable Parallel.mp4 -
28 - Build Powerful Chains Using Pipe Operators.mp4 -
29 - Complete Rag Workflow Recap.mp4 -
30 - Load Real Documents Into Your Pipeline.mp4 -
31 - Chunk Documents For Maximum Retrieval Accuracy.mp4 -
32 - Generate Highquality Embeddings.mp4 -
33 - Build A Semantic Retriever.mp4 -
34 - Create Your Runnablebased Ai Chain.mp4 -
35 - Combine Lambda Functions Advanced Runnables.mp4 -
36 - Prompt Engineering For Better Ai Responses.mp4 -
37 - Structured Output Parsing With Pydantic.mp4 -
38 - Assemble The Full Production Rag Pipeline.mp4 -
39 - Run Test Validate Your Ai Application.mp4 -
8 - Pdf Processing Fundamentals For Rag.mp4 -
9 - Handson Pdf Extraction With Langchain.mp4 -
3 - Understanding The Complete Rag Architecture.mp4 -
4 - Langchain Fundamentals Made Simple.mp4 -
5 - Generate Configure Your Openai Api Key.mp4 -
6 - Professional Project Setup With Virtual Environments.mp4 -
7 - Your First Working Llm App.mp4 -
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Bonus Resources.txt -
102 bytes
Get Bonus Downloads Here.url -
204 bytes
1 - Introduction.mp4 -
145.6 MB
2 - Why Rag Changes Everything Beyond Traditional Llms.mp4 -
39.5 MB
10 - Reading Processing Docx Files.mp4 -
18.2 MB
11 - Realworld Docx Integration Project.mp4 -
104.1 MB
12 - Working With Structured Csv Data.mp4 -
11.3 MB
13 - Build A Csv Data Loader Stepbystep.mp4 -
54.1 MB
14 - Why Chunking Is Critical For Rag Systems.mp4 -
13.9 MB
15 - Mastering Langchain Text Splitters.mp4 -
62.0 MB
16 - Popular Chunking Strategies Compared.mp4 -
29.9 MB
17 - Recursive Chunking Deep Dive Industry Standard.mp4 -
58.7 MB
18 - Embeddings Explained Visually Intuitively.mp4 -
18.7 MB
19 - How Semantic Similarity Search Actually Works.mp4 -
13.6 MB
20 - Using Embedding Models In Langchain.mp4 -
12.6 MB
21 - Vector Databases Explained For Beginners.mp4 -
13.1 MB
22 - Handson With Faiss Vector Store.mp4 -
249.2 MB
23 - Building Ai Search With Chromadb.mp4 -
115.4 MB
24 - Understanding Langchain Runnables.mp4 -
19.3 MB
25 - Master Runnable Passthrough.mp4 -
24.9 MB
26 - Creating Custom Logic With Runnable Lambda.mp4 -
39.4 MB
27 - Parallel Execution With Runnable Parallel.mp4 -
49.2 MB
28 - Build Powerful Chains Using Pipe Operators.mp4 -
41.4 MB
29 - Complete Rag Workflow Recap.mp4 -
21.4 MB
30 - Load Real Documents Into Your Pipeline.mp4 -
144.6 MB
31 - Chunk Documents For Maximum Retrieval Accuracy.mp4 -
77.4 MB
32 - Generate Highquality Embeddings.mp4 -
44.1 MB
33 - Build A Semantic Retriever.mp4 -
128.1 MB
34 - Create Your Runnablebased Ai Chain.mp4 -
54.7 MB
35 - Combine Lambda Functions Advanced Runnables.mp4 -
70.9 MB
36 - Prompt Engineering For Better Ai Responses.mp4 -
71.7 MB
37 - Structured Output Parsing With Pydantic.mp4 -
103.2 MB
38 - Assemble The Full Production Rag Pipeline.mp4 -
39.4 MB
39 - Run Test Validate Your Ai Application.mp4 -
100.4 MB
8 - Pdf Processing Fundamentals For Rag.mp4 -
24.5 MB
9 - Handson Pdf Extraction With Langchain.mp4 -
107.4 MB
3 - Understanding The Complete Rag Architecture.mp4 -
49.5 MB
4 - Langchain Fundamentals Made Simple.mp4 -
43.2 MB
5 - Generate Configure Your Openai Api Key.mp4 -
18.4 MB
6 - Professional Project Setup With Virtual Environments.mp4 -
39.8 MB
7 - Your First Working Llm App.mp4 -
96.8 MB
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