😎 Awesome list of tools and projects with the awesome LangChain framework

An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.

🦜🔗 Docs for LangChain projects

A learning project for building local knowledge bases from PDFs using LangChain, supporting multiple LLMs (DeepSeek, OpenAI). Features include PDF processing, knowledge graph construction, and natural language Q&A interface.一个基于 LangChain 的学习项目，用于构建 PDF 本地知识库，支持多种大语言模型（DeepSeek、OpenAI）。功能包括 PDF 处理、知识图谱构建和自然语言问答界面。

The project involves using the Wikipedia API to retrieve current content on a topic, and then using LangChain, OpenAI and Chroma to ask and answer questions about it. The aim of the project is to showcase the powerful embeddings and the endless possibilities.

Example code for my book "LangChain Project Lab Book: Hooking Large Language Models Up to the Real World" https://leanpub.com/langchain

Demo web project using the Elixir LangChain library

Hands-on crash course for the Model Context Protocol (MCP) with project-based branches on Streamable-HTTP, LangChain adapters, and Docker.

Various projects using Large Language Model (GPT & LLAMA) other open source model from HuggingFace and OpenAI. OpenAI API required for running various model

In this project, I explored how to extract structured information from PDF documents, using Langchain and OpenAI models

7 Streamlit Implementations of simple LangChain projects

.NET implementation of the LangChain project.

Reddit_Commentator_AIHawk is a Python project showcasing the power of artificial intelligence in social media interaction. This tool demonstrates AI's capability to generate contextually relevant Reddit comments using GPT models and LangChain. It automates the process of analyzing trending posts and creating engaging responses.

Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.

Project makes use of LangChain and FastAPI - Focus and Async integration with Vectorstore

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

An example SvelteKit project, with a server endpoint written with LangChain.

In this project, we used Langchain to create a ChatGPT for your PDF using Streamlit. We built an application that allows you to ask questions about a PDF document and get answers directly from an LLM (Large Language Model), like OpenAI's ChatGPT.

An example SvelteKit project using sveltekit-modal, with a Python server endpoint written in langchain.

This repository contains the source code for an autonomous multi-agent system built with CrewAI and LangChain. The project enables AI agents to collaborate on tasks such as researching, writing, and editing essays.

A Langchain driven project to create flexible LLM bots on Google Cloud Platform

This project implements a RAG (Retrieval-Augmented Generation) system using an open-source stack. It utilizes BioMistral 7B as the main model along with other technologies such as PubMedBert for embedding, Qdrant for a self-hosted Vector DB, and Langchain & Llama CPP for orchestration frameworks.

AI Services API: serves langchain, huggingface, & other emergent python AI libraries as a service. This project mainly serves LibreChat, and is in active open development.

📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

Build AI Projects with Node.js, OpenAI, LangChain, Vector DBs, HuggingFace and TypeScript

This is the final year project of university, in which my group is developing a chatbot for university admissions using LLMS and RAG. The bot is powered by Langchain and FastAPI. The UI and frontend is developed in Next.js.

This project is a Python script that scrapes a Linkedin PDF, generates a customized portfolio site using OpenAI's GPT-4 model with the help of LangChain and deploy the site to Vercel.