Ningwenjie
Facilitates integration with large language models by providing a backend service with file access, database connectivity, API integration, and vector database access.
About
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.
Key Features
- File access: Upload, download, list, and delete files.
- Vector database: Supports vector storage and similarity search.
- API integration: Supports calling external API services.
- 2 GitHub stars
- Database connectivity: MongoDB integration with CRUD operations.
- Docker deployment: Complete Docker configuration for easy deployment.
Use Cases
- Implementing vector-based similarity search functionality.
- Integrating Tongyi Qianwen with a backend service.
- Building applications that require file storage, database access, and API integration.
Sponsored