{"repo":"rahulsamant37/langchain-langgraph-starter","free":true,"listed":false,"github":"https://github.com/rahulsamant37/langchain-langgraph-starter","clone":"git clone https://github.com/rahulsamant37/langchain-langgraph-starter.git","description":"A comprehensive starter template for building powerful applications with LangChain and LangGraph.","language":"Jupyter Notebook","stars":15,"topics":["free-for-u","groq-api","helpingothers","langchain-python","langgraph-python","tutorial-sourcecode"],"license":"GPL-3.0","category":"saas-starters-boilerplates","readme_excerpt":"LangChain LangGraph Starter A comprehensive starter template for building powerful applications with LangChain and LangGraph. 📚 Introduction This repository provides a structured foundation for developing applications that leverage the power of Large Language Models (LLMs) through LangChain, with advanced workflow orchestration using LangGraph. What is LangGraph? LangGraph is an extension of LangChain that enables the creation of stateful, multi-actor applications using a graph-based framework. It allows you to: - Build complex, cyclic workflows with multiple LLM agents - Maintain state across interactions - Create conditional logic and branching in your LLM applications - Implement feedback loops and recursive improvement 🚀 Features - Integration with LangChain for LLM operations - Graph-based workflow management with LangGraph - Easy-to-follow project structure - Pre-configured environment setup - Example workflows for common use cases - Testing framework 📋 Prerequisites - Python 3.9+ - pip or poetry for dependency management - API key for LLM provider (OpenAI, Groq, etc.) 🔧 Installation 1. Clone the repository: 2. Install dependencies: 3. Set up environment variables: 🏗️ Project Structure 🔍 Understanding LangGraph Core Concepts 1. Nodes : - Individual components in your workflow - Can be LLM calls, tools, or utility functions - Process inputs and produce outputs 2. Edges : - Connections between nodes - Define the flow of data and execution - Can include conditional l","default_branch":null,"files":null,"tree":[],"storefront":"/r/rahulsamant37","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/rahulsamant37/langchain-langgraph-starter/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}