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Ask questions in plain language and get grounded answers, with exact math over tables, spreadsheets and ledgers.
Bring any document. DocMind turns it into answers, surfaces what matters, and shows exactly what changed. Every answer grounded in your own files.
Ask questions in plain language and get grounded answers, with exact math over tables, spreadsheets and ledgers.
Extract structured metadata like title, summary, entities, dates and sentiment from any document, as clean JSON.
Page-by-page diff between two versions of a document, with changes detected and explained by the model.
Search finds words, not answers. It won't connect what's spread across your formats, tell you what a document really means, or show what changed between versions.
Numbers in a sheet, terms in a PDF, notes in a doc. Nothing connects them into a single answer.
Getting the who, what and when from a long document is slow, and skimming makes you miss what matters.
Spotting what changed between two files is manual and error-prone. DocMind diffs them page by page.
Standard RAG: a fast MMR plus cross-encoder reranking pipeline.
Agentic RAG: a LangGraph agent that grades context, rewrites the query, and computes over tables.
Answer quality is evaluated on every change with DeepEval, scoring faithfulness, relevancy and hallucination, so quality never silently regresses.
Containerized and deployed on AWS ECS Fargate with a full CI/CD pipeline, ready for real workloads.
Upload a file and start asking. No setup, no syntax, just answers.
Drop your document here
PDF, DOCX, PPTX, MD, TXT, XLSX, CSV, SQLite
Run analysis to see structured output here…
Reference file
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