Name | langinfra JSON |
Version |
1.1.1
JSON |
| download |
home_page | None |
Summary | A Python package with a built-in web application |
upload_time | 2024-12-06 23:51:35 |
maintainer | None |
docs_url | None |
author | None |
requires_python | <3.13,>=3.10 |
license | MIT |
keywords |
gpt
gui
langchain
nlp
openai
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
<!-- markdownlint-disable MD030 -->
![Langinfra](./docs/static/img/hero.png)
<p align="center" style="font-size: 12px;">
Langinfra is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
</p>
<p align="center" style="font-size: 12px;">
<a href="https://docs.langinfra.org" style="text-decoration: underline;">Docs</a> -
<a href="https://astra.datastax.com/signup?type=langinfra" style="text-decoration: underline;">Free Cloud Service</a> -
<a href="https://docs.langinfra.org/get-started-installation" style="text-decoration: underline;">Self Managed</a>
</p>
<div align="center">
<a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
<a href="./README.PT.md"><img alt="README in Portuguese" src="https://img.shields.io/badge/Portuguese-d9d9d9"></a>
<a href="./README.ES.md"><img alt="README in Spanish" src="https://img.shields.io/badge/Spanish-d9d9d9"></a>
<a href="./README.zh_CN.md"><img alt="README in Simplified Chinese" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
<a href="./README.ja.md"><img alt="README in Japanese" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
<a href="./README.KR.md"><img alt="README in KOREAN" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
</div>
## ✨ Core features
1. **Python-based** and agnostic to models, APIs, data sources, or databases.
2. **Visual IDE** for drag-and-drop building and testing of workflows.
3. **Playground** to immediately test and iterate workflows with step-by-step control.
4. **Multi-agent** orchestration and conversation management and retrieval.
5. **Free cloud service** to get started in minutes with no setup.
6. **Publish as an API** or export as a Python application.
7. **Observability** with LangSmith, LangFuse, or LangWatch integration.
8. **Enterprise-grade** security and scalability with free DataStax Langinfra cloud service.
9. **Customize workflows** or create flows entirely just using Python.
10. **Ecosystem integrations** as reusable components for any model, API or database.
![Integrations](./docs/static/img/integrations.png)
## 📦 Quickstart
- **Install with pip** (Python 3.10 to 3.12):
```shell
pip install langinfra
```
- **Install with uv** (Python 3.10 to 3.12):
```shell
uv pip install langinfra
```
- **Cloud:** DataStax Langinfra is a hosted environment with zero setup. [Sign up for a free account.](https://astra.datastax.com/signup?type=langinfra)
- **Self-managed:** Run Langinfra in your environment. [Install Langinfra](https://docs.langinfra.org/get-started-installation) to run a local Langinfra server, and then use the [Quickstart](https://docs.langinfra.org/get-started-quickstart) guide to create and execute a flow.
- **Hugging Face:** [Clone the space using this link](https://huggingface.co/spaces/Langinfra/Langinfra?duplicate=true) to create a Langinfra workspace.
[![Getting Started](https://github.com/user-attachments/assets/f1adfbe7-3c35-43a4-b265-661f3d4f875f)](https://www.youtube.com/watch?v=kinngWhaUKM)
## ⭐ Stay up-to-date
Star Langinfra on GitHub to be instantly notified of new releases.
![Star Langinfra](https://github.com/user-attachments/assets/03168b17-a11d-4b2a-b0f7-c1cce69e5a2c)
## 👋 Contribute
We welcome contributions from developers of all levels. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langinfra more accessible.
---
[![Star History Chart](https://api.star-history.com/svg?repos=khulnasoft/langinfra&type=Timeline)](https://star-history.com/#khulnasoft/langinfra&Date)
## ❤️ Contributors
[![langinfra contributors](https://contrib.rocks/image?repo=khulnasoft/langinfra)](https://github.com/khulnasoft/langinfra/graphs/contributors)
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"description": "<!-- markdownlint-disable MD030 -->\n\n![Langinfra](./docs/static/img/hero.png)\n\n<p align=\"center\" style=\"font-size: 12px;\">\n Langinfra is a low-code app builder for RAG and multi-agent AI applications. It\u2019s Python-based and agnostic to any model, API, or database.\n</p>\n\n<p align=\"center\" style=\"font-size: 12px;\">\n <a href=\"https://docs.langinfra.org\" style=\"text-decoration: underline;\">Docs</a> -\n <a href=\"https://astra.datastax.com/signup?type=langinfra\" style=\"text-decoration: underline;\">Free Cloud Service</a> -\n <a href=\"https://docs.langinfra.org/get-started-installation\" style=\"text-decoration: underline;\">Self Managed</a>\n\n</p>\n\n<div align=\"center\">\n <a href=\"./README.md\"><img alt=\"README in English\" src=\"https://img.shields.io/badge/English-d9d9d9\"></a>\n <a href=\"./README.PT.md\"><img alt=\"README in Portuguese\" src=\"https://img.shields.io/badge/Portuguese-d9d9d9\"></a>\n <a href=\"./README.ES.md\"><img alt=\"README in Spanish\" src=\"https://img.shields.io/badge/Spanish-d9d9d9\"></a>\n <a href=\"./README.zh_CN.md\"><img alt=\"README in Simplified Chinese\" src=\"https://img.shields.io/badge/\u7b80\u4f53\u4e2d\u6587-d9d9d9\"></a>\n <a href=\"./README.ja.md\"><img alt=\"README in Japanese\" src=\"https://img.shields.io/badge/\u65e5\u672c\u8a9e-d9d9d9\"></a>\n <a href=\"./README.KR.md\"><img alt=\"README in KOREAN\" src=\"https://img.shields.io/badge/\ud55c\uad6d\uc5b4-d9d9d9\"></a>\n</div>\n\n## \u2728 Core features\n\n1. **Python-based** and agnostic to models, APIs, data sources, or databases.\n2. **Visual IDE** for drag-and-drop building and testing of workflows.\n3. **Playground** to immediately test and iterate workflows with step-by-step control.\n4. **Multi-agent** orchestration and conversation management and retrieval.\n5. **Free cloud service** to get started in minutes with no setup.\n6. **Publish as an API** or export as a Python application.\n7. **Observability** with LangSmith, LangFuse, or LangWatch integration.\n8. **Enterprise-grade** security and scalability with free DataStax Langinfra cloud service.\n9. **Customize workflows** or create flows entirely just using Python.\n10. **Ecosystem integrations** as reusable components for any model, API or database.\n\n![Integrations](./docs/static/img/integrations.png)\n\n## \ud83d\udce6 Quickstart\n\n- **Install with pip** (Python 3.10 to 3.12):\n\n```shell\npip install langinfra\n```\n\n- **Install with uv** (Python 3.10 to 3.12):\n\n```shell\nuv pip install langinfra\n```\n\n- **Cloud:** DataStax Langinfra is a hosted environment with zero setup. [Sign up for a free account.](https://astra.datastax.com/signup?type=langinfra)\n- **Self-managed:** Run Langinfra in your environment. [Install Langinfra](https://docs.langinfra.org/get-started-installation) to run a local Langinfra server, and then use the [Quickstart](https://docs.langinfra.org/get-started-quickstart) guide to create and execute a flow.\n- **Hugging Face:** [Clone the space using this link](https://huggingface.co/spaces/Langinfra/Langinfra?duplicate=true) to create a Langinfra workspace.\n\n[![Getting Started](https://github.com/user-attachments/assets/f1adfbe7-3c35-43a4-b265-661f3d4f875f)](https://www.youtube.com/watch?v=kinngWhaUKM)\n\n## \u2b50 Stay up-to-date\n\nStar Langinfra on GitHub to be instantly notified of new releases.\n\n![Star Langinfra](https://github.com/user-attachments/assets/03168b17-a11d-4b2a-b0f7-c1cce69e5a2c)\n\n## \ud83d\udc4b Contribute\n\nWe welcome contributions from developers of all levels. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langinfra more accessible.\n\n---\n\n[![Star History Chart](https://api.star-history.com/svg?repos=khulnasoft/langinfra&type=Timeline)](https://star-history.com/#khulnasoft/langinfra&Date)\n\n## \u2764\ufe0f Contributors\n\n[![langinfra contributors](https://contrib.rocks/image?repo=khulnasoft/langinfra)](https://github.com/khulnasoft/langinfra/graphs/contributors)\n",
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