LAMBDA: A Large Model Based Data Agent

doi:10.1080/01621459.2025.2510000

LAMBDA: A Large Model Based Data Agent

2025-07-17

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Prof. Huang Jian (Jian Huang) *

DOI：10.1080/01621459.2025.2510000

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We introduce LArge Model Based Data Agent (LAMBDA), a novel open-source, code-free multi-agent data analysis system that leverages the power of large language models. LAMBDA is designed to address data analysis challenges in data-driven applications through innovatively designed data agents using natural language. At the core of LAMBDA are two key agent roles: the programmer and the inspector, which are engineered to work together seamlessly. Specifically, the programmer generates code based on the user’s instructions and domain-specific knowledge, while the inspector debugs the code when necessary. To ensure robustness and handle adverse scenarios, LAMBDA features a user interface that allows direct user intervention. Moreover, LAMBDA can flexibly integrate external models and algorithms through our proposed Knowledge Integration Mechanism, catering to the needs of customized data analysis. LAMBDA has demonstrated strong performance on various data analysis tasks. It has the potential to enhance data analysis paradigms by seamlessly integrating human and artificial intelligence, making it more accessible, effective, and efficient for users from diverse backgrounds. The strong performance of LAMBDA in solving data analysis problems is demonstrated using real-world data examples. The code for LAMBDA is available athttps://github.com/AMA-CMFAI/LAMBDAand videos of three case studies can be viewed athttps://www.polyu.edu.hk/ama/cmfai/lambda.html. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.

Keywords:

Code generation via natural language

Data analysis

Large models

Multi-agent collaboration

Software system

LAMBDA: A Large Model Based Data Agent

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