Enterprise knowledge, retrieval-ready.
Open-source document intelligence that prepares enterprise documents for RAG. Parsing, structuring, and enriching, local-first.
Overview
OPEN SOURCEPreparing an enterprise document pile for retrieval normally costs weeks of manual work. DocPrep-AI collapses it into hours: a browser-based pipeline that turns mixed repositories of PDF, DOCX, XLSX, EPUB, HTML, and text into clean, searchable chunks and JSONL records ready for RAG and CAG workflows, with every byte processed locally in your browser.
Privacy-first
All processing happens client-side. Documents never leave your machine, which is the whole point for regulated teams.
Multi-format
PDF, DOCX, XLSX, EPUB, HTML, and TXT in one pipeline, with direct local folder browsing.
AI-assisted tagging
Multi-provider intelligence for metadata and classification, applied to a 25-column master catalog schema.
RAG-ready output
Live chunking, validation, and JSONL export shaped for retrieval quality.
Capabilities
What the platform doesFrom document pile to knowledge base, in the browser.
Point DocPrep-AI at a local folder and it walks the repository, parses each format with structure preserved, chunks content with live validation, and exports catalog records ready for embedding. A professional dashboard makes the whole run visible, so a business analyst can operate it without a data engineering team.
- Direct local folder access, no uploads
- 25-column enterprise catalog schema
- Real-time chunking and validation
Metadata that used to take weeks.
AI-assisted classification and tagging enrich every record with consistent metadata across providers of your choice, replacing the manual tagging passes that make RAG projects stall before they start.
Good retrieval starts with good preparation.
Impact
Open Source · 8 publishedMarkdown Back to PDF, Documents That Look Engineered
Why We Open-Source Our Tooling, An Honest Capability Statement
Chunking, Validation, JSONL, The Catalog Schema Behind Retrieval
Grafana, Prometheus, Loki, Alertmanager, One Small-Team Stack
What We Open-Sourced This Year — and Why
A Workbench for Your Vectors, Weaviate Collections Visually
Twelve Formats In, Clean Markdown Out, Conversion Engineering
Local-First Document Preparation for RAG, in the Browser
Work With Us
Briefings · federal · productQuestions, answered
DocPrep-AI · common questionsWhat is DocPrep-AI?
DocPrep-AI is a Zorost Intelligence platform for open source · rag. Open-source document intelligence that prepares enterprise documents for RAG. Parsing, structuring, and enriching, local-first.
What can DocPrep-AI do?
DocPrep-AI is built around a few core ideas: Privacy-first (All processing happens client-side. Documents never leave your machine, which is the whole point for regulated teams.) Multi-format (PDF, DOCX, XLSX, EPUB, HTML, and TXT in one pipeline, with direct local folder browsing.) AI-assisted tagging (Multi-provider intelligence for metadata and classification, applied to a 25-column master catalog schema.) RAG-ready output (Live chunking, validation, and JSONL export shaped for retrieval quality.)
Is DocPrep-AI a live product, and can it run in our environment?
DocPrep-AI is a production capability that Zorost operates and engineers into client environments. Ask for a walkthrough to see it running.
How do we get started with DocPrep-AI?
Start with a briefing. Zorost maps your operation, shows what DocPrep-AI already does in open source · rag, and scopes a first phase. Contact [email protected] or ask the concierge on this page.
Serving those who
need to stay ahead.
We don't pitch slide decks. We show you what we've already built in your domain, then engineer what your mission requires.
