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Learning path

LangChain and LlamaIndex

Chains, prompts and parsers, chatbot memory, document loaders, retrievers and LlamaIndex, with animated films and runnable Python. Part of the Gen AI Developer premium track.

Start with lesson 1
  1. 1

    LangChain: Chains, Prompt Templates and Output Parsers

    What LangChain is for, prompt templates, chat models, output parsers and composing them into chains with the pipe (|) syntax, with a tiny runnable re-implementation so you see…

    3 min read
  2. 2

    Memory for Chatbots: Buffers, Windows and Summaries

    Give chatbots memory: full buffers, sliding windows, running summaries and per-user session stores, with LangChain's message history and a runnable implementation of each strategy.

    3 min read
  3. 3

    Document Loaders, Retrievers and LlamaIndex

    Build RAG with frameworks: LangChain document loaders, text splitters, vector store retrievers and a retrieval chain, then the same app in LlamaIndex, and how to choose between them.

    4 min read