questions | feature requests 🤔 why autollm? Simplify. Unify. Amplify. 📦 installation easily install autollm package with pip in Python=3.8 environment. for built-in data readers (github, pdf, docx, ipynb, epub, mbox, websites..), install with: 🎯 quickstart tutorials video tutorials: Make RAG with API Just in a few Seconds!!! Autollm automagically create llm apps in seconds AutoLLM: Create RAG Based LLM Web Apps in SECONDS! AutoLLM: Ship RAG based LLM Apps and API in Seconds 🚀 AutoLLM: Unlock the Power of 100+ Language Models! Step-by-Step Tutorial blog posts: Introduction to AutoLLM colab...
| Stars | 1,006 |
| Forks | 97 |
| Language | Python |
| Category | AI 工具 |
| License | AGPL-3.0 |
| Quality Score | 61.7512970334022/100 |
| Open Issues | 3 |
| Last Updated | 2024-01-29 |
| Created | 2023-09-21 |
| Platforms | browser, python |
| Est. Tokens | ~17k |
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autollm is Ship RAG based LLM web apps in seconds.. It is categorized as a AI 工具 with 1.0k GitHub stars.
autollm is primarily written in Python. It covers topics such as anthropic, bedrock, cohere.
You can find installation instructions and usage details in the autollm GitHub repository at github.com/viddexa/autollm. The project has 1.0k stars and 97 forks, indicating an active community.
autollm is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.