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LangChain / RAG / Vector DBs · Lesson

Setting Up Your LangChain Environment

Configure your development environment and install necessary libraries to start building with LangChain and integrate with LLMs.

Welcome to LangChain Setup

Welcome to the exciting world of LangChain! This powerful framework helps you build applications powered by large language models (LLMs).

In this lesson, we'll get your development environment ready. Think of it as preparing your workbench before starting a new project.

Why Virtual Environments?

Before installing anything, it's a best practice to use a virtual environment. This keeps your project's dependencies separate from other Python projects on your computer.

  • Avoids conflicts between different project versions.
  • Makes your project easily shareable and reproducible.
  • Keeps your global Python installation clean.

All lessons in this course

  1. Setting Up Your LangChain Environment
  2. Prompts, LLMs, and Basic Chains
  3. Output Parsers and Callbacks
  4. Memory and Conversational Context in LangChain
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