chenlinyang/alg-mcp
Stars Lighting, enabling intelligent querying based on the RAG+MCP dual-engine architecture.
This project helps businesses and teams answer complex questions about their vast datasets using natural language. You can input questions like "What were the sales figures for Q3 in the western region, grouped by product category?" and receive precise, structured data queries and results. It's designed for data analysts, product designers, or technical researchers who need to quickly extract insights from large internal databases without writing code.
No commits in the last 6 months.
Use this if you need to perform data retrieval and analysis on thousands of data directories and billions of data facts by simply asking questions in plain language.
Not ideal if your data is small, unstructured, or you primarily need to perform tasks outside of querying structured databases and external APIs.
Stars
27
Forks
2
Language
Java
License
MIT
Category
Last pushed
Apr 18, 2025
Commits (30d)
0
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