Can I use Lumen AI with my existing SQL database?

Absolutely. Lumen AI includes specialized SQL agents that can connect to databases like PostgreSQL or DuckDB to translate natural language into executable queries.

Does Lumen AI support local LLMs?

Yes, it supports local models via providers like Ollama and LlamaCPP, making it suitable for privacy-focused data environments.

What visualization libraries does Lumen AI use?

It primarily leverages the HoloViz ecosystem, specifically Panel and hvPlot, but also supports generating Vega-Lite and other chart types.

How does Lumen AI handle data documentation?

It supports RAG (Retrieval-Augmented Generation) patterns, allowing you to supply data dictionaries, business rules, or PDFs as context for the AI agents.

Lumen AI is an open-source framework for building conversational data exploration interfaces using LLMs to generate queries and visualizations from plain English.

Lumen AI Data Exploration

Name: Lumen AI Data Exploration
Author: uw-ssec

byuw-ssec

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Data Science & ML

Enables natural language data exploration and conversational analytics through AI-powered agents and automated SQL generation.

Lumen AI is an open-source, agent-based framework designed to transform data exploration into a conversational experience. By leveraging large language models like Anthropic Claude and GPT-4, it allows users to query databases, generate interactive visualizations, and perform complex analyses using plain English. This skill is essential for developers building self-service analytics platforms or domain-specific AI agents that require RAG capabilities and multi-source data integration without requiring end-users to write code or SQL.

Key Features

01Extensible framework for building custom domain-specific agents and tools

02Natural language interface for ad-hoc data querying and visualization

03Specialized agent architecture for SQL generation, hvPlot, and Vega-Lite charts

04Multi-LLM support including Claude, OpenAI, Gemini, and local models via Ollama

05RAG integration for document-contextualized data exploration

0618 GitHub stars

Use Cases

01Creating AI research agents that combine structured data with document context

02Building self-service analytics interfaces for non-technical business users

03Implementing conversational SQL generation for complex relational databases

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add uw-ssec/rse-plugins lumen-ai

For use in Claude.ai and ChatGPT

Download Skill