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https://github.com/siddharth-nandagopal/billionaires-rag-query

Billionaires RAG Query uses LLMs and a RAG framework to analyze the world's billionaires list. Extracts tabular data from PDFs, converts to multiple formats, and enables precise queries about net worth, age, and more. Integrates with Poetry and asdf for easy setup and management.
https://github.com/siddharth-nandagopal/billionaires-rag-query

asdf billionaires-list camelot csv data-conversion data-ingestion data-pipelines financial-analysis json llm machine-learning natural-language-processing openai pdf-extraction poetry python rag structured-data tabular-data wealth-data

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Billionaires RAG Query uses LLMs and a RAG framework to analyze the world's billionaires list. Extracts tabular data from PDFs, converts to multiple formats, and enables precise queries about net worth, age, and more. Integrates with Poetry and asdf for easy setup and management.

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