LangChain with Google Gemini in Python: Your First Program Explained Line by Line
LangChain is an open-source Python framework that helps developers build applications powered by Large Language Models (LLMs) such as Google Gemini, OpenAI GPT, Anthropic Claude, and others. Instead of writing low-level API calls, LangChain provides reusable components for prompts, message handling, chains, document retrieval, memory, tools, and agents, making it easier to build intelligent AI applications. Installation ## Install Required Packages Create a Python virtual environment (recommended), then install the required packages: pip install langchain langchain-google-genai python-dotenv code : The following example demonstrates the simplest way to communicate with Google's Gemini model using LangChain. from dotenv import load_dotenv from langchain_google_genai import ChatGoogleGenerativeAI from langchain_core . messages import HumanMessage # Load environment variables load_dotenv () # Create the LLM llm = ChatGoogleGenerativeAI ( model = "gemini-2.5-...