ØMagnet

Udemy - LangChain- Develop AI Agents with LangChain & LangGraph (10.2025)

Torrent Hash :
ba90850a9865e440c517ea70f4ec0004778a3e9b
Content Size :
10.99 GB
Date :
2025-10-20
Short Magnet :
Short Magnet
https://0mag.biz/!egj5kY QR code
Files ( 456 )size
11 - [Optional] Ice Breaker Real World Generative AI Agent application/84 - Integrating Linkedin Data Processing - Part 1.mp4278.1 MB
3 - Search Agents/23 - Enhancing LangChain Agents with Pydantic Output Parsers.mp4273.1 MB
3 - Search Agents/22 - Building a Search Agent - Debug, Review Execution Flow.mp4261.41 MB
2 - The GIST of LangChain- Get started by with your Hello World chain/8 - Project Setup.mp4218.84 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/51 - [New] Imports.mp4217.19 MB
11 - [Optional] Ice Breaker Real World Generative AI Agent application/87 - Linkedin Data Processing- Part 4 - Custom Search Agent Implementation.mp4195.79 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/54 - [New, Optional] Crawling Deep Dive.mp4195 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/59 - Building an AI LangChain Chat Assistant- Frontend with Streamlit (UI).mp4193.84 MB
5 - Function Calling/38 - [NEW] Upgrading ReAct Agents with Tool Calling.mp4169.24 MB
21 - LangChain Glossary/164 - LangChain Token Limitation Handeling Strategies.mp4167.72 MB
12 - Let's Talk About LLM Applications In Production/99 - Finished course Whats next!.mp4160.69 MB
15 - Reflexion Agent/119 - What are we building.mp4158.37 MB
15 - Reflexion Agent/122 - Actor Agent.mp4155.31 MB
3 - Search Agents/25 - Reliable Structured Output with LangChain's .with_structured_output().mp4146.44 MB
3 - Search Agents/24 - Composing an Agent with Output Parsers using LCEL.mp4146.03 MB
16 - Agentic RAG/138 - Self RAG- Implementation.mp4144.58 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/57 - [New] Batch Indexing.mp4143.78 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/52 - [New] Tavily Crawling.mp4141.94 MB
4 - Diving Deep Into ReAct Agents- Whats is the magic/30 - ReAct prompt, LLM Reasoning Engine, Output Parsing and Tool Execution.mp4139.84 MB
16 - Agentic RAG/139 - Adaptive RAG.mp4138.5 MB
16 - Agentic RAG/133 - Building a Relevance Filter for RAG using LangChain's Structured Output.mp4131.98 MB
19 - Building MCP Servers and Clients with LangChain/151 - Boilerplate.mp4129.62 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/58 - Retrieval + Augmentation + Generation = RAG.mp4127.01 MB
6 - The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/43 - Medium Analyzer- Class Review - TextLoader,TextSplitter,OpenAIEmbeddings,Pinecone.mp4124.71 MB
11 - [Optional] Ice Breaker Real World Generative AI Agent application/91 - Output Parsers- Getting Ready to work with a Frontend.mp4122.37 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/53 - [New, Optional] TavilyMap, TavilyExtract for High customizability.mp4120.28 MB
9 - Prompt Engineering Theory/78 - [New] Context Engineering a System Prompt.mp4119.28 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/60 - Building an AI LangChain Chat Assistant- Memory.mp4117.98 MB
2 - The GIST of LangChain- Get started by with your Hello World chain/10 - Building a LangChain Chain to Summarize Text.mp4115.7 MB
7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/63 - Adding Sidebar and LangChain's color theme with Cursor Composer.mp4110.84 MB
2 - The GIST of LangChain- Get started by with your Hello World chain/13 - Integrating LangSmith for LangChain Application Tracing.mp4108.09 MB
8 - Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/68 - CSV Agent.mp4107.87 MB
15 - Reflexion Agent/125 - Building our LangGraph Graph.mp4105.81 MB
18 - Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/149 - mcpdoc.mp4103.46 MB
11 - [Optional] Ice Breaker Real World Generative AI Agent application/93 - Tracing application with LangSmith.mp4101.36 MB
12 - Let's Talk About LLM Applications In Production/98 - Generative UI - UX featuring CopilotKit.mp498.66 MB
12 - Let's Talk About LLM Applications In Production/97 - LLMs in Production - Privacy & Data Retention.mp496.27 MB
17 - -----------------Introduction to Model Context Protocol (MCP)-------------------/143 - [Theory] MCP Architecture.mp496.08 MB
12 - Let's Talk About LLM Applications In Production/101 - Open Source LLMs VS Managed LLM Providers (Deepseek).mp495.93 MB
11 - [Optional] Ice Breaker Real World Generative AI Agent application/90 - [Optional] Twitter Data Processing- Part 2- Agents.mp493.66 MB
9 - Prompt Engineering Theory/74 - Chain of Thought Prompting.mp491.6 MB
6 - The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/42 - Medium Analyzer- Boilerplate Project Setup.mp491.26 MB
4 - Diving Deep Into ReAct Agents- Whats is the magic/32 - CallbackHandlers, ReAct Prompt and finalizing the ReAct Agent loop.mp490.21 MB
8 - Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/65 - What are we building (A slim Version of GPT Code-Interpreter).mp489.93 MB
5 - Function Calling/37 - Function - Tool Calling in LangChain.mp489.76 MB
9 - Prompt Engineering Theory/76 - Prompt Engineering Quick Tips.mp489.05 MB
19 - Building MCP Servers and Clients with LangChain/156 - Tracing.mp487.51 MB
9 - Prompt Engineering Theory/75 - ReAct Prompting.mp487.14 MB
6 - The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/45 - Medium Analyzer- Retrieval Implementation Implementation with chains.mp486.9 MB
13 - -------------------Introduction To LangGraph -------------------/113 - [Hands On] Running Our LangGraph React Agent with Function Calling.mp485.82 MB

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