7.16 GB | 00:08:54 | mp4 | 1920X1080  | 16:9
Genre:eLearning |Language:English

Files Included :
1 - Install Ollama  (18.06 MB)
10 - Ollama Model Commands show  (112.57 MB)
11 - Ollama Model Commands set clear savemodel and loadmodel  (151.99 MB)
12 - Ollama Raw API Requests  (162.5 MB)
13 - Load Uncesored Models for Banned Content Generation Only Educational Purpose  (131.33 MB)
2 - Touch Base with Ollama  (73.99 MB)
3 - Inspecting LLAMA 32 Model  (34.5 MB)
4 - LLAMA 32 Benchmarking Overview  (16.03 MB)
5 - What Type of Models are Available on Ollama  (68 MB)
6 - Ollama Commands ollama server ollama show  (51.64 MB)
7 - Ollama Commands ollama pull ollama list ollama rm  (38.11 MB)
8 - Ollama Commands ollama cp ollama run ollama ps ollama stop  (67.8 MB)
9 - Create and Run Ollama Model with Predefined Settings  (132.81 MB)
76 - Introduction to Unstructured Data Loader  (100.6 MB)
77 - Load PPTX Data with DataLoader  (88.88 MB)
78 - Process PPTX data for LLM  (92.4 MB)
79 - Generate Speaker Script for Your PPTX Presentation  (84.7 MB)
80 - Loading and Parsing Excel Data for LLM  (25.14 MB)
81 - Ask Questions from LLM for given Excel Data  (15.53 MB)
82 - Load DOCX Document and Write Personalized Job Email  (59.07 MB)
83 - Load YouTube Video Subtitles  (67.45 MB)
84 - Load YouTube Video Subtitles in 10 Mins Chunks  (22.45 MB)
85 - Generate YouTube Keywords from the Transcripts  (53.32 MB)
86 - Introduction to RAG Project  (27.37 MB)
87 - Introduction to FAISS and Chroma Vector Database  (36.25 MB)
88 - Load All PDF Documents  (45.58 MB)
89 - Recursive Text Splitter to Create Documents Chunk  (99.25 MB)
90 - How Important Chunk Size Selection is  (62.31 MB)
91 - Get OllamaEmbeddings  (47.48 MB)
92 - Document Indexing in Vector Database  (32.43 MB)
93 - How to Save and Search Vector Database  (23.92 MB)
94 - Load Vector Database for RAG  (82.14 MB)
95 - Get Vector Store as Retriever  (44.26 MB)
96 - Exploring Similarity Search Types with Retriever  (83.79 MB)
97 - Design RAG Prompt Template  (53.59 MB)
98 - Build LLM RAG Chain  (49.57 MB)
99 - Prompt Tuning and Generate Response from RAG Chain  (31.26 MB)
100 - What is Tool Calling  (67.55 MB)
101 - Available Search Tools at Langchain  (27.98 MB)
102 - Create Your Custom Tools  (23.61 MB)
103 - Bind tools with LLM  (31.4 MB)
104 - Working with Tavily and DuckDuckGo Search Tools  (50.83 MB)
105 - Working with Wikipedia and PubMed Tools  (69.32 MB)
106 - Creating Tool Functions for InBuilt Tools  (35.64 MB)
107 - Calling Tools with LLM  (21.48 MB)
108 - Passing Tool Calling Result to LLM Part 1  (43.92 MB)
109 - Passing Tool Calling Result to LLM Part 2  (86.2 MB)
110 - How Agent Works  (27.72 MB)
111 - Tools Preparation for Agent  (71.08 MB)
112 - More About the Agent Working Process  (31.77 MB)
113 - Selection of Prompt for Agent  (61.03 MB)
114 - Agent in Action  (83.38 MB)
115 - Create MySQL Connection with Local Server  (56.83 MB)
116 - Get MySQL Execution Chain  (64.12 MB)
117 - Correct Malformed MySQL Queries Using LLM  (67.79 MB)
118 - MySQL Query Chain Execution  (33.09 MB)
119 - MySQL Query Execution with Agents in LangGraph  (126.95 MB)
14 - Langchain Introduction  (93.9 MB)
15 - Lanchain Installation  (105.98 MB)
16 - Langsmith Setup of LLM Observability  (84.84 MB)
17 - Calling Your First Langchain Ollama API  (75.04 MB)
18 - Generating Uncensored Content in Langchain Educational Purpose  (91.89 MB)
19 - Trace LLM Input Output at Langsmith  (87.78 MB)
20 - Going a lot Deeper in the Langchain  (135.35 MB)
21 - Why We Need Prompt Template  (31.13 MB)
22 - Type of Messages Needed for LLM  (47.86 MB)
23 - Circle Back to ChatOllama  (84.3 MB)
24 - Use Langchain Message Types with ChatOllama  (80.41 MB)
25 - Langchain Prompt Templates  (105.49 MB)
26 - Prompt Templates with ChatOllama  (118.91 MB)
27 - Introduction to LCEL  (72.65 MB)
28 - Create Your First LCEL Chain  (106.24 MB)
29 - Adding StrOutputParser with Your Chain  (115.16 MB)
30 - Chaining Runnables Chain Multiple Runnables  (39.3 MB)
31 - Run Chains in Parallel Part 1  (76.49 MB)
32 - Run Chains in Parallel Part 2  (62.11 MB)
33 - How Chain Router Works  (39.11 MB)
34 - Creating Independent Chains for Positive and Negative Reviews  (37.75 MB)
35 - Route Your Answer Generation to Correct Chain  (49.17 MB)
36 - What is RunnableLambda and RunnablePassthrough  (33.7 MB)
37 - Make Your Custom Runnable Chain  (53.32 MB)
38 - Create Custom Chain with chain Decorator  (19.53 MB)
39 - What is Output Parsing  (66.04 MB)
40 - What is Pydantic Parser  (51.83 MB)
41 - Get Pydantic Parser Instruction  (55.3 MB)
42 - Parse LLM Output Using Pydantic Parser  (63.37 MB)
43 - Parsing with withstructuredoutput method  (34.44 MB)
44 - JSON Output Parser  (17.81 MB)
45 - CSV Output Parsing CommaSeparatedListOutputParser  (28.39 MB)
46 - Datetime Output Parsing  (41.62 MB)
47 - How to Save and Load Chat Message History Concept  (75.5 MB)
48 - Simple Chain Setup  (65.91 MB)
49 - Chat Message with History Part 1  (49.17 MB)
50 - Chat Message with History Part 2  (65.33 MB)
51 - Chat Message with History using MessagesPlaceholder  (100.73 MB)
52 - Introduction  (37.23 MB)
53 - Introduction To Streamlit and Our Chat Application  (38.19 MB)
54 - Chat Bot Basic Code Setup  (68.87 MB)
55 - Create Chat History in Streamlit Session State  (48.71 MB)
56 - Create LLM Chat Input Area with Streamlit  (71.97 MB)
57 - Update Historical Chat on Streamlit UI  (50.88 MB)
58 - Complete Your Own Chat Bot Application  (22.66 MB)
59 - Stream Output of Your Chat Bot like ChatGPT  (33.84 MB)
60 - Introduction to PDF Document Loaders  (86.61 MB)
61 - Load Single PDF Document with PyMuPDFLoader  (67.06 MB)
62 - Load All PDFs from a Directory  (64.46 MB)
63 - Combine All PDFs Data as Context Text  (50.26 MB)
64 - How Many Tokens are There in Contex Data  (42.96 MB)
65 - Make Question Answer Prompt Templates and Chain  (31.02 MB)
66 - Ask Questions from Your PDF Documents  (63.07 MB)
67 - Summarize Your PDF Documents  (40.72 MB)
68 - Project 3 Generate Detailed Structured Report from the PDF Documents  (66.21 MB)
69 - Introduction to Webpage Loaders  (94.53 MB)
70 - Load Unstructured Stock Market Data  (46.07 MB)
71 - Make LLM QnA Script  (27.44 MB)
72 - Catastrophic Forgetting of LLM  (22.92 MB)
73 - Break Down Large Text Data Into Chunks  (42.48 MB)
74 - Create Stock Market News Summary for Each Chunks  (94.53 MB)
75 - Generate Final Stock Market Report  (82.87 MB)
[align=center]
Screenshot

[/align]

DDownload

https://ddownload.com/eujae728z6ub/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part1.rar
https://ddownload.com/f5mj76nz97a5/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part2.rar
https://ddownload.com/cb3q64czubpc/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part3.rar
https://ddownload.com/361m87o4wue9/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part4.rar

RapidGator

https://rapidgator.net/file/09941be6d54ededaf54c7f16cc050e0e/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part1.rar
https://rapidgator.net/file/b4313795ed7cf491ba04df6fc40683d9/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part2.rar
https://rapidgator.net/file/30a29a784e0d5d572a0faba0992affa0/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part3.rar
https://rapidgator.net/file/6da07ea1a9bb29c078291d3e717cdd7b/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part4.rar

TurboBit

https://turbobit.net/5rvasm4im61g/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part1.rar.html
https://turbobit.net/916ou52fjium/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part2.rar.html
https://turbobit.net/lral1jzgjg74/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part3.rar.html
https://turbobit.net/jjsux0vayl3p/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part4.rar.html

FileAxa

https://fileaxa.com/69p37bjpmmce/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part1.rar
https://fileaxa.com/ukroi144sek4/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part2.rar
https://fileaxa.com/8vj0vhw95vu3/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part3.rar
https://fileaxa.com/cb9v3mpue880/Udemy_2025_Master_Langchain_and_Ollama_Chatbot_RAG_and_Agents.part4.rar