You can chat with any document and deploy it locally. High accuracy and flexibility in processing text data.
1. Suitable for multiple application scenarios: From code documents to academic papers, DocsGPT can be applied to many different types of documents, providing extensive use case coverage. Supported file types include MD, RST, TXT, PDF, and ZIP.
2. Document retrieval and information acquisition: This project focuses on improving document retrieval and information acquisition through natural language processing technology, and can answer various questions about project documents. DocsGPT can also generate various types of documents, such as reports, resumes, letters, etc., based on the information and requirements you provide.
3. Code examples: If you need to insert code examples into your document, DocsGPT can help you generate appropriate code and provide explanations and comments.
4. Intuitive and friendly interface: DocsGPT allows users to retrieve information through natural language queries, which makes the user interface more friendly and intuitive.
5. Highly customizable: Although it is mainly based on GPT, its architecture is designed to be quite flexible, so users or developers can integrate other LLMs models or other functions as needed.
6. Support other open source models: In addition to supporting GPT3.5 and GPT4, DocsGPT can also support Falcon-7b, Falcon-40b and llama-2- 14b if you have enough resources.
7. Local hosting: In order to meet the needs of data confidentiality and security, DocsGPT provides detailed local deployment guidance. For enterprises that want to deploy DocsGPT in their own environment, the project provides personalized deployment support.
GitHub：https://github.com/arc53/DocsGPT
Online demonstration:https://docsgpt.arc53.com
