Most RAG systems discard images at indexing and answer in text only. CVS preserves visual content end to end and returns the actual table, schematic, chart, or formula from the source, with an exact citation.
CVS ingests the full spread of enterprise documents: PDF, scanned PDF, DOCX, PPTX, XLSX, HTML, TXT/Markdown, images, tables, and diagrams. Three-stage OCR combined with vision enrichment reads even degraded scans and handwritten margin notes, so legacy archives become searchable evidence rather than dead weight.
Processing is structure-aware. Tables are extracted as structured data, images are indexed for retrieval, formulas are rendered, and code blocks are preserved verbatim. The format the user needs comes back in its native form — not flattened into lossy prose during indexing.
A CVS answer can carry six kinds of evidence: photos and images, tables from PDF and Excel, schematics and engineering drawings, charts, scans and handwriting, and Mermaid or LaTeX. When an engineer asks about a pressure rating, they see the original specification table — not a language model's retelling of it.
Each answer ends the same way: a question resolves to inline evidence — an image, a rendered table, or a typeset formula — followed by an exact citation back to the source. The answer format matches what the question demands, with provenance you can verify rather than trust.
Send us your toughest spec sheet, scan, or financial table. We will show CVS returning the exact table, diagram, or formula — with a citation you can trace.