Facilitates integration with large language models by providing a backend service with file access, database connectivity, API integration, and vector database access.
Ningwenjie is a backend server designed to integrate with large language models like Tongyi Qianwen (Qwen). It offers a suite of functionalities including file access (upload, download, list, delete), database connectivity (MongoDB with CRUD operations), API integration for external services, and vector database support for similarity searches. The project includes Docker configuration for easy deployment and provides a client library and examples for interacting with Tongyi Qianwen, making it simple to build applications leveraging large language model capabilities.