01 Intro Video Guidelines for when we should use LangChain and what problems the framework does and does not solve. VIDEO
02 When to Use LangChain Guidelines for when we should use LangChain and what problems the framework does and does not solve. ARTICLE
03 Getting Started with LangChain LangChain is one of the most popular open source libraries for AI Engineers. Here we will introduce the library. ARTICLE
04 AI Observability with LangSmith An introduction to LangSmith, an observability service for the LangChain-ecosystem. ARTICLE
05 Prompt Templating and Techniques in LangChain Prompting is a critical part of building AI software. Here we'll learn general prompting techniques and specific LangChain tooling for prompting. ARTICLE
06 Conversational Memory in LangChain Exploring the various types of conversational memory and best practices for implementing them in LangChain v0.3 and beyond. ARTICLE
07 Introduction to LangChain Agents An introduction to LangChain's agents in v0.3 and up using both traditional and LCEL syntax. ARTICLE
08 LangChain Agent Executor Deep Dive A deep dive into LangChain's Agent Executor, exploring how to build your custom agent execution loop in LangChain v0.3. ARTICLE
09 LangChain Expression Language (LCEL) An introduction to LangChain's Expression Language (LCEL), the recommended syntax for building agents and chains. ARTICLE
10 LangChain Streaming All you need to know about streaming, allowing us to receive, parse, and send LLM-generated data in real-time. ARTICLE
11 End-to-End Chat Agent Project In this full end-to-end project we develop an agentic API with web search, streaming, and more. VIDEO
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