Udemy - LangChain- Develop AI Agents with LangChain & LangGraph (7.2025)

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Udemy - LangChain- Develop AI Agents with LangChain & LangGraph (7.2025)

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收录时间：2025-09-19
最近下载：2025-09-20

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文件列表

  • 03. Ice Breaker Real World Generative AI Agent application/2. Integrating Linkedin Data Processing - Part 1.mp4 292.2 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/6. Building an AI LangChain Chat Assistant- Frontend with Streamlit (UI).mp4 203.9 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/8. Optional RAG Pipeline Optimization featuring FireCrawl.mp4 200.0 MB
  • 17. LangChain Glossary/5. LangChain Token Limitation Handeling Strategies.mp4 177.0 MB
  • 12. Reflection Agent/4. Defining our LangGraph Graph.mp4 172.7 MB
  • 10. Let's Talk About LLM Applications In Production/5. Finished course Whats next!.mp4 169.2 MB
  • 13. Reflexion Agent/1. What are we building.mp4 166.3 MB
  • 13. Reflexion Agent/4. Actor Agent.mp4 163.4 MB
  • 14. Agentic RAG/13. Self RAG- Implementation.mp4 152.1 MB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/5. ReAct prompt, LLM Reasoning Engine, Output Parsing and Tool Execution.mp4 147.4 MB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/3. Project Setup (vscode) - optional.mp4 147.0 MB
  • 14. Agentic RAG/14. Adaptive RAG.mp4 145.6 MB
  • 14. Agentic RAG/8. Building a Relevance Filter for RAG using LangChain's Structured Output.mp4 138.8 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/5. Retrieval + Augmentation + Generation = RAG.mp4 133.5 MB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/2. Medium Analyzer- Class Review TextLoader,TextSplitter,OpenAIEmbeddings,Pinecone.mp4 131.1 MB
  • 03. Ice Breaker Real World Generative AI Agent application/9. Output Parsers- Getting Ready to work with a Frontend.mp4 129.0 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/2. Environment Setup.mp4 128.7 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/4. Pinecone Vectorstore Ingestion.mp4 127.4 MB
  • 03. Ice Breaker Real World Generative AI Agent application/5. Linkedin Data Processing- Part 4 Custom Search Agent Implementation.mp4 125.8 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/7. Building an AI LangChain Chat Assistant- Memory.mp4 124.0 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/11. Adding Sidebar and LangChain's color theme with Cursor Composer.mp4 116.5 MB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/5. Your First LangChain application - Chaining a simple prompt.mp4 112.0 MB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/2. Project Setup (Pycharm) recommend).mp4 110.0 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/5. mcpdoc.mp4 108.9 MB
  • 03. Ice Breaker Real World Generative AI Agent application/11. Tracing application with LangSmith.mp4 106.5 MB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/6. Using Open Source Models With LangChain (Ollama, Llama3, Mistral).mp4 104.9 MB
  • 10. Let's Talk About LLM Applications In Production/4. Generative UIUX featuring CopilotKit.mp4 103.6 MB
  • 10. Let's Talk About LLM Applications In Production/3. LLMs in Production Privacy & Data Retention.mp4 101.2 MB
  • 10. Let's Talk About LLM Applications In Production/7. Open Source LLMs VS Managed LLM Providers (Deepseek).mp4 100.9 MB
  • 03. Ice Breaker Real World Generative AI Agent application/8. Optional Twitter Data Processing- Part 2- Agents.mp4 98.5 MB
  • 08. Prompt Engineering Theory/5. Chain of Thought Prompting.mp4 96.3 MB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/1. Medium Analyzer- Boilerplate Project Setup.mp4 95.9 MB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/7. CallbackHandlers, ReAct Prompt and finalizing the ReAct Agent loop.mp4 94.9 MB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/1. What are we building (A slim Version of GPT Code-Interpreter).mp4 94.8 MB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/6. Function Tool Calling in LangChain.mp4 94.5 MB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/4. CSV Agent.mp4 94.2 MB
  • 08. Prompt Engineering Theory/7. Prompt Engineering Quick Tips.mp4 93.8 MB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/4. Medium Analyzer- Retrieval Implementation Implementation with chains.mp4 91.9 MB
  • 08. Prompt Engineering Theory/6. ReAct Prompting.mp4 91.6 MB
  • 11. -------------------Introduction To LangGraph -------------------/11. Hands On Running Our LangGraph React Agent with Function Calling.mp4 90.2 MB
  • 03. Ice Breaker Real World Generative AI Agent application/7. Optional Twitter Data Processing- Part 1- Scraping.mp4 87.1 MB
  • 17. LangChain Glossary/1. ChatModels.mp4 86.2 MB
  • 14. Agentic RAG/10. Creating the LLM Generation Chain and Node for LangGraph.mp4 85.3 MB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/3. Defining Tools for our ReAct agent.mp4 85.3 MB
  • 13. Reflexion Agent/6. ToolNode - Executing Tools.mp4 81.8 MB
  • 03. Ice Breaker Real World Generative AI Agent application/10. FullsStack App- Building our LLM powered by LangChain FullStack Application.mp4 81.6 MB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/7. Function Calling Vs ReAct.mp4 81.5 MB
  • 14. Agentic RAG/5. LangChain Vector Store Ingestion Pipeline (WebLoader, ChromaDB).mp4 80.9 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/12. Documentation Helper In Production.mp4 78.6 MB
  • 09. Troubleshooting Section/4. LangChain Version In Course (V0.3.3).mp4 78.0 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/1. What are we building (RAG).mp4 76.9 MB
  • 13. Reflexion Agent/7. Building our LangGraph Graph.mp4 75.7 MB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/6. Chat With Your PDF- FAISS Local Vectorstore.mp4 71.7 MB
  • 18. Bonus/1. Bonus.mp4 70.9 MB
  • 08. Prompt Engineering Theory/4. Few Shot Prompting.mp4 69.5 MB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/3. Medium Analyzer- Ingestion Implementation.mp4 69.0 MB
  • 11. -------------------Introduction To LangGraph -------------------/8. Hands On Coding the Agent's Brain Implementing the ReAct Runnable.mp4 64.4 MB
  • 10. Let's Talk About LLM Applications In Production/1. LLM Applications in Production.mp4 63.5 MB
  • 11. -------------------Introduction To LangGraph -------------------/2. Why LangGraph LangGraph VS LangChain.mp4 60.5 MB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/1. What is LangChain LangChain Under 6 Minutes.mp4 57.4 MB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/6. AgentAction, AgentFinish, ReAct Loop.mp4 56.8 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/9. LangChain's MultiServerMCPClient from the LangChain MCP Adapter.mp4 56.7 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/3. LLM.txt.mp4 56.5 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/6. Bridging the Gap The LangChain MCP Adapter Explained.mp4 56.3 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/2. How LLMs REALLY Use Tools Understanding Tool Calling.mp4 56.3 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/8. Simple SSE MCP Server.mp4 56.1 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/1. Why MCP (Model Context Protocol).mp4 55.7 MB
  • 17. LangChain Glossary/7. LangChain Memory Theory Deepdive (LangGraph).mp4 55.6 MB
  • 16. Useful tools when developing LLM Applications/3. LangChain VS LlamaIndex.mp4 52.6 MB
  • 01. Introduction/3. Course Structure + How to get the best of Udemy PLEASE DO NOT SKIP.mp4 51.5 MB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/5. Wrapping Everything Router Agent.mp4 51.2 MB
  • 09. Troubleshooting Section/1. Have a technical issue WATCH THIS FIRST. I Promise this will help!.mp4 50.6 MB
  • 11. -------------------Introduction To LangGraph -------------------/5. LangGraph Core Components.mp4 49.0 MB
  • 14. Agentic RAG/3. Boilerplate Setup for an Agentic RAG Agent with LangGraph.mp4 44.5 MB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/2. Environment Setup + ReAct Algorithm overview.mp4 42.9 MB
  • 14. Agentic RAG/11. Building and Running the Complete LangGraph Agent.mp4 41.0 MB
  • 14. Agentic RAG/4. Code Structure.mp4 40.6 MB
  • 16. Useful tools when developing LLM Applications/2. TextSplitting Playground.mp4 39.0 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/10. What is Cursor.mp4 38.9 MB
  • 03. Ice Breaker Real World Generative AI Agent application/6. Linkedin Data Processing- Part 5 Custom Search Agent Testing.mp4 38.3 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/3. OPTIONAL Manually Scraping the LangChain Documentation.mp4 38.2 MB
  • 03. Ice Breaker Real World Generative AI Agent application/4. Linkedin Data Processing- Part 3 Tools, Agent Executor, create_react_agent.mp4 36.4 MB
  • 03. Ice Breaker Real World Generative AI Agent application/1. Ice Breaker- What are we building here.mp4 36.2 MB
  • 10. Let's Talk About LLM Applications In Production/8. Confidence in AI Results By Assaf Elovic & Harrison Chase.mp4 34.8 MB
  • 12. Reflection Agent/5. LangSmith Tracing.mp4 34.3 MB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/1. What are we building ReAct AgentExecutor from scratch.mp4 34.1 MB
  • 11. -------------------Introduction To LangGraph -------------------/10. Hands On Bringing Your ReAct Agent to Life Connecting Nodes into a Graph.mp4 34.1 MB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/3. Python Agent.mp4 33.9 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/4. MCP Inspector.mp4 33.9 MB
  • 13. Reflexion Agent/5. Revisor Agent.mp4 33.5 MB
  • 11. -------------------Introduction To LangGraph -------------------/9. Hands On 43. Building Blocks Defining Your Agent's Nodes in LangGraph.mp4 32.3 MB
  • 14. Agentic RAG/1. What are Building In this Section- Agentic RAG Architecture.mp4 31.7 MB
  • 09. Troubleshooting Section/2. Tweet API- tweepy.errors.Forbidden 403 Forbidden.mp4 30.8 MB
  • 14. Agentic RAG/9. Implementing a Web Search Node in LangGraph using Tavily API.mp4 30.7 MB
  • 11. -------------------Introduction To LangGraph -------------------/7. Hands On Get Started Setting Up Your ReAct Agent Project Environment.mp4 30.2 MB
  • 01. Introduction/4. Course's Community.mp4 28.0 MB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/5. Medium Analyzer- Retrieval Implementation Implementation with LCEL.mp4 27.4 MB
  • 17. LangChain Glossary/6. LangChain Memory Intro- Co Reference Resolution.mp4 26.5 MB
  • 10. Let's Talk About LLM Applications In Production/6. Official LangChain Academy Courses.mp4 25.7 MB
  • 03. Ice Breaker Real World Generative AI Agent application/12. Real World Ice breaker Agents.mp4 25.3 MB
  • 08. Prompt Engineering Theory/1. The GIST of LLMs.mp4 24.8 MB
  • 12. Reflection Agent/3. Creating the Reflector Chain and the Tweet Reviosr Chain.mp4 24.8 MB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/2. Project Setup.mp4 22.5 MB
  • 13. Reflexion Agent/2. Project Setup.mp4 22.5 MB
  • 10. Let's Talk About LLM Applications In Production/2. LLM Application Development landscape.mp4 22.1 MB
  • 11. -------------------Introduction To LangGraph -------------------/3. What are Graphs.mp4 21.1 MB
  • 14. Agentic RAG/7. Fetching Context for LLMs The LangGraph Retrieve Node.mp4 20.8 MB
  • 17. LangChain Glossary/2. Messages.mp4 20.0 MB
  • 08. Prompt Engineering Theory/3. Zero Shot Prompting.mp4 19.9 MB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/8. Recap with LangSmith.mp4 19.8 MB
  • 16. Useful tools when developing LLM Applications/1. LangChain Hub - Downloads prompt from the community.mp4 19.7 MB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/9. Which LLM to Use (OpenAI, Gemini, Anthropic, Mistral, Llama).mp4 19.7 MB
  • 11. -------------------Introduction To LangGraph -------------------/4. LangGraph & Flow Engineering.mp4 19.6 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/9. Leveraging Cursor IDE for UI Improvements.mp4 18.9 MB
  • 11. -------------------Introduction To LangGraph -------------------/6. --------- Hands On Implementing ReAct AgentExecutor with LangGraph ---------.mp4 18.9 MB
  • 12. Reflection Agent/2. Project Setup.mp4 18.7 MB
  • 14. Agentic RAG/12. Self RAG- Intro.mp4 18.3 MB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/4. Debugging LangChain Resolving LLM stop Token & Template Indentation Issues.mp4 17.5 MB
  • 14. Agentic RAG/2. Improving RAG Quality with the Corrective RAG Flow.mp4 17.2 MB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/8. LangChain Version In Course (V0.3.3) - (No breaking changes in 0.3.3).mp4 16.5 MB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/4. Environment Variables and .env File.mp4 15.9 MB
  • 03. Ice Breaker Real World Generative AI Agent application/3. Linkedin Data Processing - Part 2 - Agents Theory.mp4 14.5 MB
  • 17. LangChain Glossary/3. RecursiveCharacterTextSplitter.mp4 13.8 MB
  • 11. -------------------Introduction To LangGraph -------------------/1. What is LangGraph.mp4 12.7 MB
  • 09. Troubleshooting Section/3. Pinecone AttributeError init is no longer a top-level attribute of pinecone.mp4 12.1 MB
  • 17. LangChain Glossary/4. Document.mp4 9.9 MB
  • 08. Prompt Engineering Theory/2. What is a Prompt Composition of a formal prompt.mp4 9.5 MB
  • 14. Agentic RAG/6. Managing Information Flow in LangGraph The GraphState.mp4 9.5 MB
  • 15. Intro to MCP - Model Context Protocol with LangChain/7. What are we MCBuilding.mp4 9.4 MB
  • 01. Introduction/2. Course Objectives.mp4 9.1 MB
  • 01. Introduction/1. Course Introduction.mp4 6.4 MB
  • 12. Reflection Agent/1. What are we building.mp4 4.6 MB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/2. langchain-docs.zip 3.1 MB
  • 14. Agentic RAG/51133263/9. Implementing a Web Search Node in LangGraph using Tavily API/meta.json 838.1 kB
  • 14. Agentic RAG/51133263/9. Implementing a Web Search Node in LangGraph using Tavily API/meta_selected.json 119.8 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/5. code-interpreter-3-router-agent.zip 53.4 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/5. code-interpreter-3-router-agent-start-here.zip 53.1 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/4. code-interpreter-2-csv-agent.zip 52.9 kB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/4. rag-gist-4-retrieval-implementation-chains.zip 52.6 kB
  • 14. Agentic RAG/51133263/9. Implementing a Web Search Node in LangGraph using Tavily API/raw.mpd 52.5 kB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/3. rag-gist-3-ingestion-implementation.zip 52.3 kB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/2. rag-gist-2-imports.zip 51.4 kB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/1. rag-gist-1-setup.zip 51.3 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/7. react-langchain-final.zip 50.2 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/6. react-langchain-3.zip 49.9 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/5. react-langchain-2.zip 49.8 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/3. code-interpreter-1-python-agent.zip 45.8 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/3. react-langchain-1.zip 42.5 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/2. react-langchain-final-0.zip 41.9 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/9.2 From ReAct Prompting to Modern Tool Calling.html 29.4 kB
  • 03. Ice Breaker Real World Generative AI Agent application/5. Linkedin Data Processing- Part 4 Custom Search Agent Implementation.vtt 27.2 kB
  • 03. Ice Breaker Real World Generative AI Agent application/2. Integrating Linkedin Data Processing - Part 1.vtt 27.1 kB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/6. Building an AI LangChain Chat Assistant- Frontend with Streamlit (UI).vtt 26.3 kB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/7.1 LangChain Model Switching Groq API Integration.html 26.0 kB
  • 11. -------------------Introduction To LangGraph -------------------/2. Why LangGraph LangGraph VS LangChain.vtt 22.8 kB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/4. Medium Analyzer- Retrieval Implementation Implementation with chains.vtt 20.1 kB
  • 13. Reflexion Agent/4. Actor Agent.vtt 20.0 kB
  • 14. Agentic RAG/13. Self RAG- Implementation.vtt 19.0 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/5. ReAct prompt, LLM Reasoning Engine, Output Parsing and Tool Execution.vtt 18.9 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/3. Defining Tools for our ReAct agent.vtt 18.6 kB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/6. Chat With Your PDF- FAISS Local Vectorstore.vtt 18.1 kB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/5. Your First LangChain application - Chaining a simple prompt.vtt 18.1 kB
  • 14. Agentic RAG/8. Building a Relevance Filter for RAG using LangChain's Structured Output.vtt 15.7 kB
  • 15. Intro to MCP - Model Context Protocol with LangChain/5. mcpdoc.vtt 15.6 kB
  • 17. LangChain Glossary/5. LangChain Token Limitation Handeling Strategies.vtt 15.6 kB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/3. Medium Analyzer- Ingestion Implementation.vtt 15.2 kB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/3. Project Setup (vscode) - optional.vtt 15.0 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/4. episode_info.csv 14.5 kB
  • 03. Ice Breaker Real World Generative AI Agent application/9. Output Parsers- Getting Ready to work with a Frontend.vtt 14.3 kB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/4. Pinecone Vectorstore Ingestion.vtt 13.9 kB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/8. Optional RAG Pipeline Optimization featuring FireCrawl.vtt 13.9 kB
  • 14. Agentic RAG/14. Adaptive RAG.vtt 13.6 kB
  • 03. Ice Breaker Real World Generative AI Agent application/10. FullsStack App- Building our LLM powered by LangChain FullStack Application.vtt 13.3 kB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/5. Retrieval + Augmentation + Generation = RAG.vtt 13.1 kB
  • 03. Ice Breaker Real World Generative AI Agent application/7. Optional Twitter Data Processing- Part 1- Scraping.vtt 13.1 kB
  • 12. Reflection Agent/4. Defining our LangGraph Graph.vtt 12.9 kB
  • 05. The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/2. Medium Analyzer- Class Review TextLoader,TextSplitter,OpenAIEmbeddings,Pinecone.vtt 12.5 kB
  • 10. Let's Talk About LLM Applications In Production/7. Open Source LLMs VS Managed LLM Providers (Deepseek).vtt 12.5 kB
  • 08. Prompt Engineering Theory/7. Prompt Engineering Quick Tips.vtt 12.4 kB
  • 10. Let's Talk About LLM Applications In Production/1. LLM Applications in Production.vtt 12.3 kB
  • 15. Intro to MCP - Model Context Protocol with LangChain/9. LangChain's MultiServerMCPClient from the LangChain MCP Adapter.vtt 12.1 kB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/2. Project Setup (Pycharm) recommend).vtt 12.1 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/7. CallbackHandlers, ReAct Prompt and finalizing the ReAct Agent loop.vtt 11.8 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/4. CSV Agent.vtt 11.8 kB
  • 04. Diving Deep Into ReAct Agents- Whats is the magic/6. AgentAction, AgentFinish, ReAct Loop.vtt 11.7 kB
  • 02. The GIST of LangChain- Get started by with your Hello World chain/6. Using Open Source Models With LangChain (Ollama, Llama3, Mistral).vtt 11.5 kB
  • 03. Ice Breaker Real World Generative AI Agent application/11. Tracing application with LangSmith.vtt 11.3 kB
  • 17. LangChain Glossary/7. LangChain Memory Theory Deepdive (LangGraph).vtt 11.2 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/5. Wrapping Everything Router Agent.vtt 11.0 kB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/11. Adding Sidebar and LangChain's color theme with Cursor Composer.vtt 10.6 kB
  • 10. Let's Talk About LLM Applications In Production/3. LLMs in Production Privacy & Data Retention.vtt 10.4 kB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/7. Building an AI LangChain Chat Assistant- Memory.vtt 10.4 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/3. Python Agent.vtt 10.2 kB
  • 08. Prompt Engineering Theory/4. Few Shot Prompting.vtt 10.2 kB
  • 11. -------------------Introduction To LangGraph -------------------/8. Hands On Coding the Agent's Brain Implementing the ReAct Runnable.vtt 10.0 kB
  • 08. Prompt Engineering Theory/5. Chain of Thought Prompting.vtt 10.0 kB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/12. Documentation Helper In Production.vtt 9.8 kB
  • 17. LangChain Glossary/1. ChatModels.vtt 9.5 kB
  • 14. Agentic RAG/11. Building and Running the Complete LangGraph Agent.vtt 9.5 kB
  • 13. Reflexion Agent/6. ToolNode - Executing Tools.vtt 9.3 kB
  • 11. -------------------Introduction To LangGraph -------------------/11. Hands On Running Our LangGraph React Agent with Function Calling.vtt 9.3 kB
  • 06. Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/2. Environment Setup.vtt 9.3 kB
  • 03. Ice Breaker Real World Generative AI Agent application/8. Optional Twitter Data Processing- Part 2- Agents.vtt 9.1 kB
  • 11. -------------------Introduction To LangGraph -------------------/10. Hands On Bringing Your ReAct Agent to Life Connecting Nodes into a Graph.vtt 9.0 kB
  • 07. Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/6. Function Tool Calling in LangChain.vtt 9.0 kB
  • 10. Let's Talk About LLM Applications In Production/5. Finished course Whats next!.vtt 9.0 kB
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