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wealth-data

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siddharth-nandagopal / billionaires-rag-query

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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.

python json machine-learning natural-language-processing csv poetry tabular-data asdf openai structured-data financial-analysis data-pipelines data-conversion data-ingestion camelot rag pdf-extraction llm billionaires-list wealth-data
  • Updated Oct 17, 2024
  • Python

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