Udemy - LangChain & LangGraph AI Engineer Agents, Agentic RAG & MCP 1080 2026-10

Creation Time	Nov. 10, 2026, 3:22 a.m.
Last Access Time	Nov. 10, 2026, 8:07 a.m.
File Size	15.8 GB
Keywords	RAG 2026-10 1080 AI LangGraph - LangChain Udemy Agents MCP Agentic Engineer
Total Requests	12
Total Files	603
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09. RAG Foundations Embeddings & Vector Databases/7. Medium Analyzer- Naive Retrieval Implementation Implementation.mp4 584.7 MB
10. Build a Documentation Assistant with RAG/14. Frontend with Streamlit (UI).mp4 546.0 MB
09. RAG Foundations Embeddings & Vector Databases/3. Medium Analyzer- Boilerplate Project Setup.mp4 374.7 MB
12. AI Applications In Production/8. AI FOMO is the New Normal.mp4 365.9 MB
15. Build a Reflexion Agent in LangGraph/7. Building Our LangGraph Graph.mp4 327.7 MB
05. Layer 1 Write the ReAct Loop Yourself/1. Writing Tools.mp4 280.5 MB
17. Model Context Protocol (MCP) Foundations/4. Theory The GIST of the Protocol with Tool Calling.mp4 265.0 MB
14. Build a Reflection Agent in LangGraph/4. Defining our LangGraph Graph.mp4 260.0 MB
18. Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/5. LangChain's Official Managed MCP Server.mp4 241.1 MB
07. Layer 3 The ReAct Prompt Underneath/5. Agent Loop With ReAct Prompt.mp4 240.9 MB
06. Layer 2 Raw Function Calling/1. -------- Layer 2 Manual JSON Schemas vs. LangChain Tool Abstraction --------.mp4 230.5 MB
02. Your First LangChain App/3. Project Setup.mp4 219.5 MB
10. Build a Documentation Assistant with RAG/5. Imports.mp4 217.7 MB
10. Build a Documentation Assistant with RAG/13. Run, Debug, Trace RAG Agent.mp4 210.5 MB
15. Build a Reflexion Agent in LangGraph/8. Tracing Our Graph.mp4 208.1 MB
05. Layer 1 Write the ReAct Loop Yourself/3. Understanding the ReAct Agent Loop in Langchain.mp4 200.4 MB
10. Build a Documentation Assistant with RAG/8. Optional Crawling Deep Dive.mp4 195.7 MB
21. Deep Agents Skills/3. Layer 2 Tracing AI Agent Skills with LangSmith.mp4 194.0 MB
09. RAG Foundations Embeddings & Vector Databases/9. LangChain RAG Documentation.mp4 190.0 MB
03. Build a Search Agent with Tools/7. Integrating Real-World Search with Tavily and LangChain Tools.mp4 185.3 MB
03. Build a Search Agent with Tools/8. Structured Output with LangChain Agents Using Pydantic.mp4 185.2 MB
17. Model Context Protocol (MCP) Foundations/3. Theory MCP Architecture.mp4 174.9 MB
24. LangChain Glossary/5. LangChain Token Limitation Handeling Strategies.mp4 168.8 MB
12. AI Applications In Production/9. Finished course Whats next!.mp4 161.3 MB
15. Build a Reflexion Agent in LangGraph/4. Actor Agent V2.mp4 161.1 MB
11. Prompt and Context Engineering Theory/9. Context Engineering a System Prompt.mp4 159.1 MB
15. Build a Reflexion Agent in LangGraph/1. What are we building A Reflexion Agent.mp4 158.6 MB
04. Agents Under the Hood The 3 Layers/4. Setup.mp4 148.0 MB
16. Build an Agentic RAG System/13. Self RAG- Implementation.mp4 145.2 MB
10. Build a Documentation Assistant with RAG/11. Batch Indexing.mp4 144.3 MB
10. Build a Documentation Assistant with RAG/6. Tavily Crawling.mp4 142.5 MB
16. Build an Agentic RAG System/14. Adaptive RAG.mp4 139.0 MB
16. Build an Agentic RAG System/8. Building a Relevance Filter for RAG using LangChain's Structured Output.mp4 132.5 MB
07. Layer 3 The ReAct Prompt Underneath/3. Understanding the ReAct Prompt Building AI Agents Without Function Calling.mp4 132.5 MB
27. Agent Security Foundations/1. 2026 Software Engineering.mp4 131.5 MB
06. Layer 2 Raw Function Calling/2. Building a ReAct Agent Loop with the Raw Ollama SDK.mp4 131.4 MB
02. Your First LangChain App/8. Integrating LangSmith for LangChain Application Tracing.mp4 130.3 MB
04. Agents Under the Hood The 3 Layers/3. Theory The Gist of ReACT.mp4 129.7 MB
21. Deep Agents Skills/5. Layer 3 Inside skills.py- The Mechanics of Progressive Disclosure.mp4 127.2 MB
07. Layer 3 The ReAct Prompt Underneath/2. Generating Dynamic Tool Descriptions in Python.mp4 126.0 MB
19. Building MCP Servers and Clients with LangChain/2. Boilerplate.mp4 122.7 MB
09. RAG Foundations Embeddings & Vector Databases/8. Medium Analyzer- 2 Step RAG.mp4 121.6 MB
10. Build a Documentation Assistant with RAG/7. Optional TavilyMap, TavilyExtract for High customizability.mp4 120.8 MB
09. RAG Foundations Embeddings & Vector Databases/4. Medium Analyzer- Class Review Loaders,TextSplitter,OpenAIEmbeddings,Pinecone.mp4 119.9 MB
10. Build a Documentation Assistant with RAG/12. Retrieval Agent Implementation.mp4 117.5 MB
02. Your First LangChain App/5. Building a LangChain Chain to Summarize Text.mp4 116.2 MB
21. Deep Agents Skills/2. Level 1 Using Agent Skills in the Deep Agents CLI.mp4 115.2 MB
07. Layer 3 The ReAct Prompt Underneath/4. Implementing Manual Tool Calling for LLMs.mp4 114.8 MB
17. Model Context Protocol (MCP) Foundations/5. Theory MCP Servers.mp4 113.5 MB
20. Deep Agents/4. Deep Agents Sub Agents and Hierarchical Delegation.mp4 111.2 MB
09. RAG Foundations Embeddings & Vector Databases/5. Medium Analyzer- Ingestion Implementation.mp4 105.3 MB
18. Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/4. mcpdoc.mp4 104.0 MB
07. Layer 3 The ReAct Prompt Underneath/1. What are we building Function Calling. Yes we are building Function Calling.mp4 100.4 MB
12. AI Applications In Production/4. Generative UIUX featuring CopilotKit.mp4 98.9 MB
12. AI Applications In Production/3. LLMs in Production Privacy & Data Retention.mp4 96.6 MB
12. AI Applications In Production/6. Open LLMs VS Managed LLM Providers.mp4 96.3 MB
26. Industry Insights Building Production Security Agents with Roy Miara/3. Harness Engineering.mp4 94.2 MB
11. Prompt and Context Engineering Theory/5. Chain of Thought Prompting.mp4 92.0 MB
26. Industry Insights Building Production Security Agents with Roy Miara/2. AI Agents in Cybersecurity CTF Competitions.mp4 91.5 MB
11. Prompt and Context Engineering Theory/7. Prompt Engineering Quick Tips.mp4 89.5 MB
04. Agents Under the Hood The 3 Layers/1. Introduction to The Core Architecture of AI Agents A Deep Dive.mp4 87.9 MB
11. Prompt and Context Engineering Theory/6. ReAct Prompting.mp4 87.4 MB
05. Layer 1 Write the ReAct Loop Yourself/2. Tool Binding and Defensive Prompting.mp4 86.6 MB
13. LangGraph Fundamentals/12. Hands On Running Our LangGraph React Agent with Function Calling.mp4 86.1 MB
27. Agent Security Foundations/8. What is LLM App Sec.mp4 86.1 MB
27. Agent Security Foundations/6. Demo Treat Agent Skills as RCE.mp4 85.4 MB
03. Build a Search Agent with Tools/2. What are we building AI Job Search Agent.mp4 85.4 MB
24. LangChain Glossary/1. ChatModels.mp4 82.3 MB
27. Agent Security Foundations/2. Securing AI-Generated Code in a Multi-Agent World.mp4 81.3 MB
15. Build a Reflexion Agent in LangGraph/6. ToolNode - Executing Tools.mp4 78.1 MB
28. The Dark Side of Vibe Coding Vulnerabilities in AI-Generated Apps/4. AI Coding Agents Struggle with Business Logic and SSRF.mp4 77.4 MB
02. Your First LangChain App/7. Using Local Open-Weights Models with LangChain and Ollama.mp4 77.1 MB
19. Building MCP Servers and Clients with LangChain/3. Servers.mp4 76.6 MB
09. RAG Foundations Embeddings & Vector Databases/2. Introduction to RAG Implementation.mp4 76.1 MB
05. Layer 1 Write the ReAct Loop Yourself/4. Model Switch.mp4 76.0 MB
10. Build a Documentation Assistant with RAG/15. Documentation Helper In Production.mp4 75.1 MB
19. Building MCP Servers and Clients with LangChain/9. Tracing.mp4 74.3 MB
10. Build a Documentation Assistant with RAG/3. Environment Setup.mp4 73.4 MB
10. Build a Documentation Assistant with RAG/1. What are we building A lightweight Cursor Feature Feature (RAG).mp4 73.4 MB
20. Deep Agents/2. Deep Agents Taxonomy of Agents Shallow Agents, Deep Agents, Coding Agents.mp4 72.5 MB
19. Building MCP Servers and Clients with LangChain/7. Imports.mp4 71.8 MB
08. Wrap-up From Layers Back to LangChain/1. Intro.mp4 71.1 MB
19. Building MCP Servers and Clients with LangChain/8. Client.mp4 68.6 MB
23. Jev & System One Models (Decision Models) with LangChain/5. Jev Primitive Noul.mp4 68.3 MB
27. Agent Security Foundations/7. Solution Establishing Security Boundaries.mp4 68.3 MB
28. The Dark Side of Vibe Coding Vulnerabilities in AI-Generated Apps/1. Introduction.mp4 67.6 MB
26. Industry Insights Building Production Security Agents with Roy Miara/4. Managing Variance and Hallucinations in Production Agents.mp4 67.4 MB
16. Build an Agentic RAG System/10. Creating the LLM Generation Chain and Node for LangGraph.mp4 67.2 MB
11. Prompt and Context Engineering Theory/4. Few Shot Prompting.mp4 66.4 MB
28. The Dark Side of Vibe Coding Vulnerabilities in AI-Generated Apps/5. AI Coding Agents Struggle with Rate Limiting and CSRF.mp4 65.8 MB
27. Agent Security Foundations/5. Skill & MCP Security Introduction.mp4 63.5 MB
13. LangGraph Fundamentals/9. Hands On Coding the Agent's Brain Implementing the ReAct Runnable.mp4 61.6 MB
13. LangGraph Fundamentals/13. IMPORTANT Building Modern LLM Agents From History to LangGraph v1.0.mp4 61.5 MB
25. Industry Insights Building Production Agents with Assaf Elovic/1. The Core Architecture of Production-Grade AI.mp4 61.4 MB
16. Build an Agentic RAG System/5. LangChain Vector Store Ingestion Pipeline (Unstructured, ChromaDB).mp4 60.9 MB
12. AI Applications In Production/1. LLM Applications in Production.mp4 60.6 MB
23. Jev & System One Models (Decision Models) with LangChain/11. Hands-On with TypeSafeClassifier Fast Decision Models in LangChain.mp4 58.9 MB
13. LangGraph Fundamentals/2. Why LangGraph LangGraph VS LangChain.mp4 57.9 MB
28. The Dark Side of Vibe Coding Vulnerabilities in AI-Generated Apps/3. AI Agents Struggle with Role-Based Access Control.mp4 57.3 MB
23. Jev & System One Models (Decision Models) with LangChain/8. System 1 vs. System 2 AI Choosing Between Jev and Traditional LLMs.mp4 56.1 MB
17. Model Context Protocol (MCP) Foundations/1. Theory Why MCP (Model Context Protocol).mp4 55.8 MB
02. Your First LangChain App/1. What is LangChain LangChain Under 6 Minutes.mp4 54.7 MB
18. Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/3. LLM.txt.mp4 54.0 MB
19. Building MCP Servers and Clients with LangChain/6. Bridging the Gap The LangChain MCP Adapter Explained.mp4 53.8 MB
17. Model Context Protocol (MCP) Foundations/2. Theory How LLMs REALLY Use Tools Understanding Tool Calling.mp4 53.7 MB
19. Building MCP Servers and Clients with LangChain/5. Simple MCP Server.mp4 53.5 MB
28. The Dark Side of Vibe Coding Vulnerabilities in AI-Generated Apps/2. AI Coding Rarely Write SQL Injections or XSS Bugs.mp4 53.2 MB
24. LangChain Glossary/7. LangChain Memory Theory Deepdive (LangGraph).mp4 53.1 MB
25. Industry Insights Building Production Agents with Assaf Elovic/2. How to Make Users Trust Your AI Agents.mp4 51.6 MB
28. The Dark Side of Vibe Coding Vulnerabilities in AI-Generated Apps/6. Prompt Engineering Won't Fix Insecure AI Code.mp4 51.4 MB
22. Agent Middleware and Harness Engineering/3. Middleware Usecases Security & Reliability.mp4 51.1 MB
20. Deep Agents/6. Deep Agents File Systems.mp4 50.1 MB
27. Agent Security Foundations/4. Summary In this tutorial, we focus on the two primary attack surfaces involved.mp4 49.3 MB
01. Introduction/3. Course Structure + How to get the best of Udemy PLEASE DO NOT SKIP.mp4 49.1 MB
03. Build a Search Agent with Tools/6. From Query to Answer How a LangChain Agent Thinks.mp4 49.1 MB
13. LangGraph Fundamentals/5. LangGraph Core Components.mp4 46.8 MB
09. RAG Foundations Embeddings & Vector Databases/1. Introduction to Retrieval Augmentation Generation (RAG).mp4 44.6 MB
26. Industry Insights Building Production Security Agents with Roy Miara/1. Intro.mp4 43.8 MB
22. Agent Middleware and Harness Engineering/2. What is Agent Middleware.mp4 43.5 MB
03. Build a Search Agent with Tools/1. What are AI Agents A High-Level Overview.mp4 42.9 MB
10. Build a Documentation Assistant with RAG/4. Ingestion Pipeline Intro.mp4 42.1 MB
16. Build an Agentic RAG System/3. Boilerplate Setup for an Agentic RAG Agent with LangGraph.mp4 40.4 MB
16. Build an Agentic RAG System/11. Building and Running the Complete LangGraph Agent.mp4 39.1 MB
16. Build an Agentic RAG System/4. Code Structure.mp4 38.8 MB
06. Layer 2 Raw Function Calling/3. Recap.mp4 37.7 MB
10. Build a Documentation Assistant with RAG/17. TextSplitting Playground.mp4 37.2 MB
08. Wrap-up From Layers Back to LangChain/2. Theory Understanding Function Calling for LLMs.mp4 35.1 MB
02. Your First LangChain App/11. Semantic Versioning in LangChain.mp4 33.4 MB
12. AI Applications In Production/7. Confidence in AI Results By Assaf Elovic & Harrison Chase.mp4 33.2 MB
23. Jev & System One Models (Decision Models) with LangChain/2. System One vs. System Two Thinking The Motivation For Jev style Decision Models.mp4 32.9 MB
14. Build a Reflection Agent in LangGraph/5. LangSmith Tracing.mp4 32.8 MB
13. LangGraph Fundamentals/11. Hands On Bringing Your ReAct Agent to Life Connecting Nodes into a Graph.mp4 32.6 MB
21. Deep Agents Skills/1. The 3 Layers of AI Agent Skills From Usage to Source Code.mp4 32.5 MB
18. Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/2. MCP Inspector.mp4 32.3 MB
15. Build a Reflexion Agent in LangGraph/5. Revisor Agent.mp4 32.0 MB
04. Agents Under the Hood The 3 Layers/2. What are we building An E-Commerce Agent.mp4 31.7 MB
16. Build an Agentic RAG System/9. Implementing a Web Search Node in LangGraph using Tavily API.mp4 31.6 MB
25. Industry Insights Building Production Agents with Assaf Elovic/3. Tutorial Building a Lean AI Feedback Loop.mp4 31.6 MB
03. Build a Search Agent with Tools/5. Creating Your First LangChain Agent Tools and LLMs.mp4 31.3 MB
13. LangGraph Fundamentals/10. Hands On 43. Building Blocks Defining Your Agent's Nodes in LangGraph.mp4 30.9 MB
10. Build a Documentation Assistant with RAG/16. Choosing the right RAG Architecture.mp4 30.8 MB
16. Build an Agentic RAG System/1. What are Building In this Section- Agentic RAG Architecture.mp4 30.2 MB
21. Deep Agents Skills/4. RECAP (How LangChain Deep Agents Implement Skill Middleware).mp4 30.1 MB
10. Build a Documentation Assistant with RAG/9. Quick Recap.mp4 29.7 MB
13. LangGraph Fundamentals/8. Hands On Get Started Setting Up Your ReAct Agent Project Environment.mp4 28.9 MB
02. Your First LangChain App/4. LangChain Fundamentals Prompt Templates, ChatModels, and Chains.mp4 28.5 MB
01. Introduction/4. Course's Community.mp4 26.8 MB
10. Build a Documentation Assistant with RAG/10. Chunking (Text Splitting).mp4 25.7 MB
23. Jev & System One Models (Decision Models) with LangChain/1. Introduction to Jev by TypeSafe AI.mp4 25.6 MB
24. LangChain Glossary/6. LangChain Memory Intro- Co Reference Resolution.mp4 25.3 MB
03. Build a Search Agent with Tools/4. Setting Up the Environment for a LangChain Search Agent.mp4 24.5 MB
12. AI Applications In Production/5. Official LangChain Academy Courses.mp4 24.5 MB
20. Deep Agents/1. Introduction to Deep Agents Section.mp4 24.0 MB
14. Build a Reflection Agent in LangGraph/3. Creating the Reflector Chain and the Tweet Reviosr Chain.mp4 23.7 MB
11. Prompt and Context Engineering Theory/1. The GIST of Large Langauge Models.mp4 23.7 MB
23. Jev & System One Models (Decision Models) with LangChain/13. Switching Backends in LangChain From TypeSafe AI to Local Ollama.mp4 23.1 MB
23. Jev & System One Models (Decision Models) with LangChain/6. Jev Primitive Score.mp4 21.6 MB
15. Build a Reflexion Agent in LangGraph/2. Project Setup.mp4 21.5 MB
12. AI Applications In Production/2. LLM Application Development landscape.mp4 21.0 MB
11. Prompt and Context Engineering Theory/8. Context Engineering.mp4 20.4 MB
13. LangGraph Fundamentals/3. What are Graphs.mp4 20.1 MB
03. Build a Search Agent with Tools/3. The Evolution of LangChain ReAct Agents.mp4 20.0 MB
16. Build an Agentic RAG System/7. Fetching Context for LLMs The LangGraph Retrieve Node.mp4 19.8 MB
03. Build a Search Agent with Tools/9. THEORY Predictable Agent Responses with LangChain Structured Output.mp4 19.4 MB
24. LangChain Glossary/2. Messages.mp4 19.1 MB
11. Prompt and Context Engineering Theory/3. Zero Shot Prompting.mp4 19.0 MB
13. LangGraph Fundamentals/4. LangGraph & Flow Engineering.mp4 18.8 MB
13. LangGraph Fundamentals/6. --------- Hands On Implementing ReAct AgentExecutor with LangGraph ---------.mp4 18.1 MB
14. Build a Reflection Agent in LangGraph/2. Project Setup.mp4 17.9 MB
16. Build an Agentic RAG System/12. Self RAG- Intro.mp4 17.4 MB
23. Jev & System One Models (Decision Models) with LangChain/9. RECAP.mp4 17.0 MB
16. Build an Agentic RAG System/2. Improving RAG Quality with the Corrective RAG Flow.mp4 16.4 MB
20. Deep Agents/5. Deep Agents Subagents context flow.mp4 15.6 MB
23. Jev & System One Models (Decision Models) with LangChain/12. Setting Up Open Jev-Style Decision Models with Ollama.mp4 14.1 MB
24. LangChain Glossary/3. RecursiveCharacterTextSplitter.mp4 13.2 MB
13. LangGraph Fundamentals/1. What is LangGraph.mp4 12.2 MB
18. Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/1. What are we building MCP Doc.mp4 12.1 MB
23. Jev & System One Models (Decision Models) with LangChain/10. Hands On Intro.mp4 10.7 MB
20. Deep Agents/3. Deep Agents How Deep Agents Use Dynamic To-Do Lists to Solve Complex Tasks.mp4 10.5 MB
23. Jev & System One Models (Decision Models) with LangChain/4. Understanding TypeSafe AI Jev's Primitives State and Question Types.mp4 9.8 MB
24. LangChain Glossary/4. Document.mp4 9.5 MB
16. Build an Agentic RAG System/6. Managing Information Flow in LangGraph The GraphState.mp4 9.1 MB
11. Prompt and Context Engineering Theory/2. What is a Prompt Composition of a formal prompt.mp4 9.1 MB
19. Building MCP Servers and Clients with LangChain/4. What are we MCBuilding.mp4 8.9 MB
02. Your First LangChain App/6. Debugging and Tracing Our LangChain Chain.mp4 8.8 MB
02. Your First LangChain App/2. What are we building LangChain Hello World Chain.mp4 8.7 MB
01. Introduction/2. Course Objectives.mp4 8.6 MB
22. Agent Middleware and Harness Engineering/1. Introduction to Agent Middleware (Hooks).mp4 7.8 MB
27. Agent Security Foundations/3. Velocity vs. Safety Navigating the Default Incentives of Agentic Dev.mp4 7.4 MB
09. RAG Foundations Embeddings & Vector Databases/6. RECAP.mp4 7.0 MB
01. Introduction/1. Course Introduction.mp4 6.9 MB
19. Building MCP Servers and Clients with LangChain/1. Intro.mp4 6.7 MB
23. Jev & System One Models (Decision Models) with LangChain/7. Jev Primitive Choice.mp4 6.5 MB
23. Jev & System One Models (Decision Models) with LangChain/14. Downstream Code Branching and Threshold Tuning in LangChain.mp4 5.7 MB
14. Build a Reflection Agent in LangGraph/1. What are we building A Reflection Agent.mp4 4.4 MB
23. Jev & System One Models (Decision Models) with LangChain/15. 2026-10-03_11-49-57-0624526595049a68978ff225c6265688.png 293.3 KB
13. LangGraph Fundamentals/7. 2026-02-10_08-26-07-1594c782a6b7d7263dce02b65d1cf7d0.jpeg 126.2 KB
10. Build a Documentation Assistant with RAG/2. 2026-02-10_08-14-00-a3f0b3e838a7324374c3905739b34984.jpeg 89.5 KB
10. Build a Documentation Assistant with RAG/14. Frontend with Streamlit (UI).vtt 33.5 KB
17. Model Context Protocol (MCP) Foundations/6.5 MCP Quiz.html 30.5 KB
06. Layer 2 Raw Function Calling/4.3 Quiz Raw Function Calling — AI Agent Without LangChain.html 30.3 KB
05. Layer 1 Write the ReAct Loop Yourself/5.2 Quiz AI Agent Loop with LangChain Tool Calling.html 28.0 KB
15. Build a Reflexion Agent in LangGraph/4. Actor Agent V2.vtt 26.5 KB
02. Your First LangChain App/10.1 LangChain Model Switching Groq API Integration.html 25.8 KB
09. RAG Foundations Embeddings & Vector Databases/5. Medium Analyzer- Ingestion Implementation.vtt 23.2 KB
09. RAG Foundations Embeddings & Vector Databases/7. Medium Analyzer- Naive Retrieval Implementation Implementation.vtt 22.6 KB
14. Build a Reflection Agent in LangGraph/4. Defining our LangGraph Graph.vtt 22.6 KB
09. RAG Foundations Embeddings & Vector Databases/10.4 RAG Implementation with Vector Stores Quiz.html 22.6 KB
02. Your First LangChain App/9.1 LangChain LCEL Fundamentals Quiz.html 22.6 KB
10. Build a Documentation Assistant with RAG/12. Retrieval Agent Implementation.vtt 22.4 KB
13. LangGraph Fundamentals/2. Why LangGraph LangGraph VS LangChain.vtt 22.3 KB
21. Deep Agents Skills/6.6 Agent Skills Quiz.html 22.1 KB
09. RAG Foundations Embeddings & Vector Databases/3. Medium Analyzer- Boilerplate Project Setup.vtt 21.5 KB
21. Deep Agents Skills/3. Layer 2 Tracing AI Agent Skills with LangSmith.vtt 21.3 KB
15. Build a Reflexion Agent in LangGraph/7. Building Our LangGraph Graph.vtt 21.0 KB
09. RAG Foundations Embeddings & Vector Databases/4. Medium Analyzer- Class Review Loaders,TextSplitter,OpenAIEmbeddings,Pinecone.vtt 20.8 KB
05. Layer 1 Write the ReAct Loop Yourself/3. Understanding the ReAct Agent Loop in Langchain.vtt 20.3 KB
09. RAG Foundations Embeddings & Vector Databases/8. Medium Analyzer- 2 Step RAG.vtt 19.2 KB
02. Your First LangChain App/3. Project Setup.vtt 19.2 KB
10. Build a Documentation Assistant with RAG/8. Optional Crawling Deep Dive.vtt 19.2 KB
16. Build an Agentic RAG System/13. Self RAG- Implementation.vtt 18.6 KB
12. AI Applications In Production/8. AI FOMO is the New Normal.vtt 18.3 KB
20. Deep Agents/2. Deep Agents Taxonomy of Agents Shallow Agents, Deep Agents, Coding Agents.vtt 18.0 KB
09. RAG Foundations Embeddings & Vector Databases/2. Introduction to RAG Implementation.vtt 17.6 KB
05. Layer 1 Write the ReAct Loop Yourself/1. Writing Tools.vtt 16.8 KB
16. Build an Agentic RAG System/8. Building a Relevance Filter for RAG using LangChain's Structured Output.vtt 15.3 KB
18. Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/4. mcpdoc.vtt 15.2 KB
24. LangChain Glossary/5. LangChain Token Limitation Handeling Strategies.vtt 15.2 KB
06. Layer 2 Raw Function Calling/1. -------- Layer 2 Manual JSON Schemas vs. LangChain Tool Abstraction --------.vtt 15.1 KB
10. Build a Documentation Assistant with RAG/5. Imports.vtt 14.8 KB
10. Build a Documentation Assistant with RAG/7. Optional TavilyMap, TavilyExtract for High customizability.vtt 14.1 KB
10. Build a Documentation Assistant with RAG/6. Tavily Crawling.vtt 14.1 KB
18. Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/5. LangChain's Official Managed MCP Server.vtt 13.9 KB
21. Deep Agents Skills/5. Layer 3 Inside skills.py- The Mechanics of Progressive Disclosure.vtt 13.9 KB
21. Deep Agents Skills/2. Level 1 Using Agent Skills in the Deep Agents CLI.vtt 13.9 KB
02. Your First LangChain App/5. Building a LangChain Chain to Summarize Text.vtt 13.5 KB
10. Build a Documentation Assistant with RAG/11. Batch Indexing.vtt 13.5 KB
16. Build an Agentic RAG System/14. Adaptive RAG.vtt 13.3 KB
06. Layer 2 Raw Function Calling/2. Building a ReAct Agent Loop with the Raw Ollama SDK.vtt 13.3 KB
13. LangGraph Fundamentals/13. IMPORTANT Building Modern LLM Agents From History to LangGraph v1.0.vtt 13.3 KB
09. RAG Foundations Embeddings & Vector Databases/9. LangChain RAG Documentation.vtt 13.3 KB
23. Jev & System One Models (Decision Models) with LangChain/11. Hands-On with TypeSafeClassifier Fast Decision Models in LangChain.vtt 13.2 KB
07. Layer 3 The ReAct Prompt Underneath/2. Generating Dynamic Tool Descriptions in Python.vtt 13.1 KB
19. Building MCP Servers and Clients with LangChain/2. Boilerplate.vtt 12.6 KB
10. Build a Documentation Assistant with RAG/13. Run, Debug, Trace RAG Agent.vtt 12.6 KB
04. Agents Under the Hood The 3 Layers/3. Theory The Gist of ReACT.vtt 12.6 KB
15. Build a Reflexion Agent in LangGraph/8. Tracing Our Graph.vtt 12.3 KB
12. AI Applications In Production/6. Open LLMs VS Managed LLM Providers.vtt 12.2 KB
11. Prompt and Context Engineering Theory/7. Prompt Engineering Quick Tips.vtt 12.1 KB
12. AI Applications In Production/1. LLM Applications in Production.vtt 12.0 KB
17. Model Context Protocol (MCP) Foundations/4. Theory The GIST of the Protocol with Tool Calling.vtt 12.0 KB
07. Layer 3 The ReAct Prompt Underneath/4. Implementing Manual Tool Calling for LLMs.vtt 11.8 KB
11. Prompt and Context Engineering Theory/9. Context Engineering a System Prompt.vtt 11.5 KB
16. Build an Agentic RAG System/10. Creating the LLM Generation Chain and Node for LangGraph.vtt 11.0 KB
24. LangChain Glossary/7. LangChain Memory Theory Deepdive (LangGraph).vtt 11.0 KB
03. Build a Search Agent with Tools/8. Structured Output with LangChain Agents Using Pydantic.vtt 10.9 KB
15. Build a Reflexion Agent in LangGraph/3. 2025-04-22_14-33-22-cb69524640ea47c408fa9881a50a6ad8.png 10.9 KB
07. Layer 3 The ReAct Prompt Underneath/1. What are we building Function Calling. Yes we are building Function Calling.vtt 10.6 KB
04. Agents Under the Hood The 3 Layers/4. Setup.vtt 10.6 KB
08. Wrap-up From Layers Back to LangChain/2. Theory Understanding Function Calling for LLMs.vtt 10.6 KB
16. Build an Agentic RAG System/5. LangChain Vector Store Ingestion Pipeline (Unstructured, ChromaDB).vtt 10.4 KB
03. Build a Search Agent with Tools/7. Integrating Real-World Search with Tavily and LangChain Tools.vtt 10.2 KB
17. Model Context Protocol (MCP) Foundations/5. Theory MCP Servers.vtt 10.2 KB
12. AI Applications In Production/3. LLMs in Production Privacy & Data Retention.vtt 10.2 KB
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06. Layer 2 Raw Function Calling/3. Ollama-Docs.txt 24 bytes
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02. Your First LangChain App/7. Ollama.txt 19 bytes
23. Jev & System One Models (Decision Models) with LangChain/9. jes.txt 18 bytes
02. Your First LangChain App/7. groq.txt 17 bytes

Udemy - LangChain & LangGraph AI Engineer Agents, Agentic RAG & MCP 1080 2026-10

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