Abstract: This paper presents a novel methodology for the extraction and retrieval of images in RAG (Retrieval Augmented Generation) powered Question Answering Conversational Systems that circumvents ...

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Most advanced RAG systems operate within the 75% to 92% accuracy range, which may be acceptable for consumer applications but remains unacceptable for institutional finance. Henon's zero-error RAG has ...

Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...

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