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ST-Raptor is a tool that answers questions over semi-structured tables by taking an Excel-formatted table and a natural-language query to produce precise answers. It requires no fine-tuning and combines a vision-language model with a HO-Tree-based tree-construction algorithm, with flexible integration for various LLMs. It supports local deployment or API usage for LLMs, VLMs, and embeddings, handles multiple input formats (HTML, CSV, Markdown, etc.), supports image input, and uses a two-stage validation to ensure reliable results.
AI named ST-Raptor from January 2026 to March 2026.