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Beyond RAG: Transforming Messy Document Folders into Queryable Databases

"폴더는 잠재된 데이터베이스다" RAG의 한계를 넘는 Sifter의 데이터 구조화 혁신

Why it matters

Traditional retrieval-based AI is limited when it comes to exact filtering and data aggregation across large document sets. By leveraging LLMs to convert unstructured files into typed records, Sifter enables precise data analysis and unlocks the latent value hidden within organizational archives.

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SifterStructured DataLLM ExtractionData AggregationQuery Engine

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