LLM based AI Agent to automate Data Analysis for dbt projects with remote MCP server

RAG system for enabling LLM agents to understand dbt project structures. It retrieves context on models, dependencies, and documentation, allowing agents to generate, refine, and modify code step-by-step with project-specific accuracy. This approach reduces hallucinations and improves responses by leveraging the full context of the repository.

AI agents that automate dimensional data modeling end-to-end. LLM-powered agents profile source data, design star/snowflake schemas, generate dbt models, ERDs, DDL, data quality rules, and documentation; all orchestrated via LangGraph.

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基于 ReAct Agent、LLM 和现代数据栈 (DuckDB, dbt, ML) 构建的住房公积金智能审计系统。