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In accordance with analysts, Databricks and Snowflake’s choices would assist enterprises reduce down the complexity of workflows required to investigate unstructured knowledge, particularly paperwork.
Enterprises, traditionally, have needed to construct advanced, gradual, brittle OCR pipelines in the event that they wish to convey knowledge from paperwork, reminiscent of PDFs, into an AI workflow, ensuing within the end result of RAG, which enabled semantic search over parsed textual content however nonetheless struggled with nuanced doc buildings like tables, stated Bradley Shimmin, observe lead of knowledge, analytics, and infrastructure at The Futurum Group.
To deal with paperwork with tables, enterprises typically chained extra LLM calls to extract and reconstruct tables as JSON, which was efficient however dangerous attributable to hallucinations, Shimmin stated, including that as a substitute of sewing collectively OCR, RAG, and customized extraction logic, Databricks’ ai_parse collapses your complete workflow right into a single declarative SQL assertion.
