Beyond Plain Text: Egnyte's Journey to Structured Data Extraction in RAG Systems
When we first launched Egnyte’s AI features built on retrieval-augmented generation (RAG), customer response was overwhelmingly positive. Users could quickly find and synthesize information from vast document repositories with accuracy and context. But success breeds ambition. As customers grew comfortable with the system, they began exploring new use cases that revealed a limitation: while our RAG excelled with plain text, it struggled with tables, charts, and other structured formats.