Florentine
Enables natural language querying for MongoDB data, transforming questions into aggregations for AI agents and desktop applications.
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The Florentine.ai Model Context Protocol (MCP) server empowers developers to seamlessly integrate natural language querying capabilities for their MongoDB data into custom AI Agents and AI Desktop Applications. It functions by receiving natural language questions from an AI agent, translating them into complex MongoDB aggregations, and then returning the results back to the agent for further processing. This allows users to interact with their database using plain language, abstracting away the need for direct query construction.
Características Principales
- 0 GitHub stars
- Semantic vector search/RAG support with automated embedding creation
- Exclusion of keys
- Secure data separation
- Advanced lookup support
Casos de Uso
- Building AI Desktop Apps with conversational data access
- Automating MongoDB data retrieval through AI interactions
- Integrating natural language querying into custom AI agents