worldbank/llm4data
LLM4Data is a Python library designed to facilitate the application of large language models (LLMs) and artificial intelligence for development data and knowledge discovery.
This project helps international development researchers and analysts quickly access and interpret World Bank Development Indicators (WDI) data. You input a question in plain language, and it outputs the correct WDI API query, SQL code to extract the data, and even a narrative explanation of the results. It's designed for anyone working with global development data who needs to efficiently find, query, and understand World Bank statistics.
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Use this if you need to rapidly query World Bank Development Indicators using natural language and get reliable, well-structured data access commands and explanations.
Not ideal if your primary data sources are outside the World Bank Development Indicators or if you prefer to write all API calls and SQL queries manually.
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Python
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Last pushed
Dec 02, 2024
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Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/worldbank/llm4data"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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