LlamaIndex SQLite Bridge
Integrates Model Context Protocol (MCP) servers with SQLite databases, enabling natural language interactions via LlamaIndex and Ollama-powered clients.
Acerca de
This project provides a robust framework for connecting Model Context Protocol (MCP) servers to SQLite databases, empowering natural language interactions through LlamaIndex and Ollama. It demonstrates how to expose database operations as accessible tools for Large Language Models, exemplified by both a basic people management demo and a sophisticated Human Resources Management System. The system allows users to manage employees, track leave, handle compensation, and perform analytics using intuitive natural language commands, effectively bridging LLMs with structured data.
Características Principales
- Comprehensive HR Management System demo
- Tool-based approach for database operations
- Async support for both server and client
- 1 GitHub stars
- MCP server architecture with SQLite integration
- Natural language interface using LlamaIndex and Ollama
Casos de Uso
- Developing AI-driven natural language interfaces for databases.
- Implementing comprehensive HR management systems accessible via natural language.
- Demonstrating the Model Context Protocol (MCP) for LLM tool integration.
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