LangChain for LLM Application Development ↗
Prerequisites: Python, basic LLM understanding
agents
ragHarrison Chase (LangChain CEO) and Andrew Ng’s one-hour introduction to building LLM applications with LangChain. Covers chains, memory, prompts, and agents. The fastest way to understand what LangChain does and whether it’s the right framework for your use case. Pair with the RAG from Scratch learning path to go deeper into retrieval-augmented generation patterns.