An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
LangServe 🦜️🏓
Text-To-Speech, RAG, and LLMs. All local!
一个轻量级、支持全链路且易于二次开发的大模型应用项目(Large Model Data Assistant) 支持DeepSeek/Qwen3等大模型 基于 Dify 、LangChain/LangGraph、Ollama&Vllm、Sanic 和 Text2SQL 📊 等技术构建的一站式大模型应用开发项目，采用 Vue3、TypeScript 和 Vite 5 打造现代UI。它支持通过 ECharts 📈 实现基于大模型的数据图形化问答，具备处理 CSV 文件 📂 表格问答的能力。同时，能方便对接第三方开源 RAG 系统 检索系统 🌐等，以支持广泛的通用知识问答。
Create Custom GPT and add/embed on your site using Assistants api
🚀 Introducing 🐪 CAMEL: a game-changing role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT! Watch two agents 🤝 collaborate and solve tasks together, unlocking endless possibilities in #ConversationalAI, 🎮 gaming, 📚 education, and more! 🔥
Next.js frontend for LangChain Chat.
repo2pdf is a tool that allows you to convert a GitHub repository into a PDF file. It clones the repository, processes the files, and then creates a PDF.
Local coding agent with neat UI
GPT Auth provides a user-friendly solution to quickly setup oauth for your custom GPT and self-host it.
This repo is deprecated. Please go to langchain-ai/docs.
An open-source no-code tool for teams to collaborate on building, evaluating, and hosting applications leveraging GPT and other large language models. You could easily build and share LLM-powered apps, manage your budget and run batch jobs.
Prototyping Generative AI Use Cases with Amazon Bedrock and Langchain
Flowchart-like UI to interconnect LLM's and Huggingface models, and deploy them as a REST API with little to no code.
A framework for building agent workflows
The FunctionChain is a tool that simplifies and organizes the process of invoking OpenAI functions in your Node.js applications. With this toolkit, you can easily scaffold out and isolate all the OpenAI function calls you need, making your code more modular, maintainable, and scalable.
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
An example SvelteKit project using sveltekit-modal, with a Python server endpoint written in langchain.
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