A Generative AI Engineer is building a RAG databricks video
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A Generative AI Engineer is building a RAG application that consumes scanned legal documents in .tiff and .png formats. These documents contain multiple fonts, handwritten signatures, and watermarks. The goal is to extract clean, usable text from these files to feed into an embedding pipeline. The engineer wants a solution that minimizes development time and integrates well with Python-based downstream processing. Which approach should the engineer choose?