文件列表456
- 11 - [Optional] Ice Breaker Real World Generative AI Agent application/84 - Integrating Linkedin Data Processing - Part 1.mp4 278.1 MB
- 3 - Search Agents/23 - Enhancing LangChain Agents with Pydantic Output Parsers.mp4 273.1 MB
- 3 - Search Agents/22 - Building a Search Agent - Debug, Review Execution Flow.mp4 261.41 MB
- 2 - The GIST of LangChain- Get started by with your Hello World chain/8 - Project Setup.mp4 218.84 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/51 - [New] Imports.mp4 217.19 MB
- 11 - [Optional] Ice Breaker Real World Generative AI Agent application/87 - Linkedin Data Processing- Part 4 - Custom Search Agent Implementation.mp4 195.79 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/54 - [New, Optional] Crawling Deep Dive.mp4 195 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/59 - Building an AI LangChain Chat Assistant- Frontend with Streamlit (UI).mp4 193.84 MB
- 5 - Function Calling/38 - [NEW] Upgrading ReAct Agents with Tool Calling.mp4 169.24 MB
- 21 - LangChain Glossary/164 - LangChain Token Limitation Handeling Strategies.mp4 167.72 MB
- 12 - Let's Talk About LLM Applications In Production/99 - Finished course Whats next!.mp4 160.69 MB
- 15 - Reflexion Agent/119 - What are we building.mp4 158.37 MB
- 15 - Reflexion Agent/122 - Actor Agent.mp4 155.31 MB
- 3 - Search Agents/25 - Reliable Structured Output with LangChain's .with_structured_output().mp4 146.44 MB
- 3 - Search Agents/24 - Composing an Agent with Output Parsers using LCEL.mp4 146.03 MB
- 16 - Agentic RAG/138 - Self RAG- Implementation.mp4 144.58 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/57 - [New] Batch Indexing.mp4 143.78 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/52 - [New] Tavily Crawling.mp4 141.94 MB
- 4 - Diving Deep Into ReAct Agents- Whats is the magic/30 - ReAct prompt, LLM Reasoning Engine, Output Parsing and Tool Execution.mp4 139.84 MB
- 16 - Agentic RAG/139 - Adaptive RAG.mp4 138.5 MB
- 16 - Agentic RAG/133 - Building a Relevance Filter for RAG using LangChain's Structured Output.mp4 131.98 MB
- 19 - Building MCP Servers and Clients with LangChain/151 - Boilerplate.mp4 129.62 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/58 - Retrieval + Augmentation + Generation = RAG.mp4 127.01 MB
- 6 - The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/43 - Medium Analyzer- Class Review - TextLoader,TextSplitter,OpenAIEmbeddings,Pinecone.mp4 124.71 MB
- 11 - [Optional] Ice Breaker Real World Generative AI Agent application/91 - Output Parsers- Getting Ready to work with a Frontend.mp4 122.37 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/53 - [New, Optional] TavilyMap, TavilyExtract for High customizability.mp4 120.28 MB
- 9 - Prompt Engineering Theory/78 - [New] Context Engineering a System Prompt.mp4 119.28 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/60 - Building an AI LangChain Chat Assistant- Memory.mp4 117.98 MB
- 2 - The GIST of LangChain- Get started by with your Hello World chain/10 - Building a LangChain Chain to Summarize Text.mp4 115.7 MB
- 7 - Building a documentation assistant (Embeddings, VectorDBs, Retrieval, Memory)/63 - Adding Sidebar and LangChain's color theme with Cursor Composer.mp4 110.84 MB
- 2 - The GIST of LangChain- Get started by with your Hello World chain/13 - Integrating LangSmith for LangChain Application Tracing.mp4 108.09 MB
- 8 - Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/68 - CSV Agent.mp4 107.87 MB
- 15 - Reflexion Agent/125 - Building our LangGraph Graph.mp4 105.81 MB
- 18 - Using a Pre-built Server (mcpdoc) with AI Clients (Cursor & Claude)/149 - mcpdoc.mp4 103.46 MB
- 11 - [Optional] Ice Breaker Real World Generative AI Agent application/93 - Tracing application with LangSmith.mp4 101.36 MB
- 12 - Let's Talk About LLM Applications In Production/98 - Generative UI - UX featuring CopilotKit.mp4 98.66 MB
- 12 - Let's Talk About LLM Applications In Production/97 - LLMs in Production - Privacy & Data Retention.mp4 96.27 MB
- 17 - -----------------Introduction to Model Context Protocol (MCP)-------------------/143 - [Theory] MCP Architecture.mp4 96.08 MB
- 12 - Let's Talk About LLM Applications In Production/101 - Open Source LLMs VS Managed LLM Providers (Deepseek).mp4 95.93 MB
- 11 - [Optional] Ice Breaker Real World Generative AI Agent application/90 - [Optional] Twitter Data Processing- Part 2- Agents.mp4 93.66 MB
- 9 - Prompt Engineering Theory/74 - Chain of Thought Prompting.mp4 91.6 MB
- 6 - The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/42 - Medium Analyzer- Boilerplate Project Setup.mp4 91.26 MB
- 4 - Diving Deep Into ReAct Agents- Whats is the magic/32 - CallbackHandlers, ReAct Prompt and finalizing the ReAct Agent loop.mp4 90.21 MB
- 8 - Building a slim ChatGPT Code-Interpreter (Advanced Agents, OpenAI Functions)/65 - What are we building (A slim Version of GPT Code-Interpreter).mp4 89.93 MB
- 5 - Function Calling/37 - Function - Tool Calling in LangChain.mp4 89.76 MB
- 9 - Prompt Engineering Theory/76 - Prompt Engineering Quick Tips.mp4 89.05 MB
- 19 - Building MCP Servers and Clients with LangChain/156 - Tracing.mp4 87.51 MB
- 9 - Prompt Engineering Theory/75 - ReAct Prompting.mp4 87.14 MB
- 6 - The GIST of RAG- Embeddings, Vector Databases and, & Retrieval/45 - Medium Analyzer- Retrieval Implementation Implementation with chains.mp4 86.9 MB
- 13 - -------------------Introduction To LangGraph -------------------/113 - [Hands On] Running Our LangGraph React Agent with Function Calling.mp4 85.82 MB
