Editorial course preview
What the public course preview actually shows
These 3 complementary views highlight concrete, legible examples from the course presentation.
This architectural diagram illustrates how an AI agent processes user input through LangChain, integrating memory, tools, and models like GPT or AutoGen to produce actions.
This diagram illustrates the Retrieval-Augmented Generation (RAG) workflow, detailing how documents are processed via LangChain and FAISS before being queried by GPT.
This slide outlines the AI Agent Stack with a flowchart linking LangChain, Langflow, FAISS, CrewAI, RAG, and GPT-4, promoting a hands-on bootcamp for building problem-solving agents.