Folder-native indexing
Point Vevesh at the directories you already work in. PDFs, Office files, drawings, and code are scanned, chunked, and kept ready — no re-upload circus.
Vevesh indexes specs, drawings, reports, and code from the folders you already use — then gives your team a private, citation-aware assistant that understands engineering context, not just keywords.
You asked
What are the fatigue load combination requirements for an IEC Class IIA site with 50-year design life?
Vevesh answer
GroundedFor Class IIA, your indexed IEC 61400-1 section 7.4.2 requires DLC 1.2 and 6.4 combinations with the site-specific turbulence class applied. Your foundation report (Rev C) already flags the governing combination as My at tower base under DLC 6.1...
4
Extraction engines
Express → Premium
Hybrid
Search stack
Vector + keyword BM25
100%
Citation traceable
Every answer sourced
Edge
Global scale path
When teams need it
Features
Vevesh is not another generic document chatbot. It is an indexing and retrieval stack designed around how technical teams actually store knowledge.
Point Vevesh at the directories you already work in. PDFs, Office files, drawings, and code are scanned, chunked, and kept ready — no re-upload circus.
Express, Structure, Flow, Premium — four engines. Local or server. You choose per knowledge base.
Hosted, billed corpora your whole team queries from chat — ghost or open citation modes.
Your source folders stay yours. Metadata on infrastructure you control.
Multi-hop retrieval, standards-aware routing, answers that respect real project structure.
Native desktop for heavy folders. Web when you need a lighter entry.
Extraction
Not every document deserves the same treatment. Vevesh lets you choose local or server extraction per knowledge base — from lightning-fast text pulls to premium vision for the messiest scans.
Plain text layer extraction. Ideal for digital PDFs, Word docs, and clean reports where speed matters.
Best for: Daily specs, code, markdown
Preserves headings, tables, and document hierarchy. Cloudflare toMarkdown for complex Office and PDF layouts.
Best for: Technical reports, tables
Workers AI vision for scanned images and messy documents. Falls back intelligently on unsupported formats.
Best for: Scanned drawings, photos
Higher-quality vision model for the toughest scans — handwritten margins, low-contrast plots, legacy archives.
Best for: Legacy archives, field notes
Local or server — your call
Extract on your machine for full control, or push raw files to the edge pipeline when you want server-side processing without touching your source folder.
How it works
The workflow mirrors how you already organize work — Vevesh adds the AI layer without forcing a new filing system.
Choose any project directory — specs, reports, CAD exports, code. No forced “import everything to our cloud” step.
Vevesh scans, hashes, and extracts with the engine you select. Local on your machine, or server-side via the edge pipeline.
Chat with full project awareness — citations, cross-document reasoning, and optional shared knowledge bases for the team.
Platform
Hybrid stack: local indexing on your machine, managed retrieval where it helps, edge workers for scale-sensitive paths. This marketing site lives on its own Cloudflare account — separate from customer data.
Your machine
Desktop app · local index
Edge
CF Workers
Server
Self-host / Dell
Team KB storage
R2 · Vectorize · D1 shards
Why Vevesh
Generic AI tools treat your files as attachments. Vevesh treats your project structure as the product.
Trust & security
Vevesh is designed for engineers who cannot afford hallucinated load cases or mystery data residency. We optimize for traceability, isolation, and control — not engagement metrics.
Private preview
Design partner program
Self-host
Optional on-prem path
EU-ready
Configurable deployment
Source folders remain on your machine or infrastructure. Index metadata and team KB settings live in Postgres — never scattered across anonymous SaaS uploads.
Customer knowledge bases run on dedicated Cloudflare accounts with separate workers, R2, and Vectorize — not co-mingled with marketing or admin traffic.
Every grounded answer links back to indexed files and pages. Ghost mode hides KB existence from probing; open mode makes citations first-class.
Team knowledge bases use Stripe subscriptions. Server extraction and embed usage are metered per engine — no surprise token black boxes.
Hybrid vector + BM25 retrieval, multi-provider AI routing, desktop-native filesystem access, and optional self-hosted server deployment.
Vevesh is in private preview with design partners in wind, civil, and software engineering. We ship against real folder workflows, not demo PDFs.
FAQ
No. Your source folder stays where it is. Vevesh scans and indexes content locally by default. Team knowledge bases sync extracted chunks and metadata to managed storage — raw files only when you explicitly choose server extraction mode.
Upload tools treat files as one-off attachments. Vevesh maintains a persistent, searchable index tied to your folder structure — with hybrid retrieval, engineering RAG routing, and page-level citations on every grounded answer.
Yes. Vevesh supports a self-hosted server path for teams that need on-prem control. Managed cloud components (edge workers, team KB storage) are optional layers — not mandatory for every workflow.
PDFs, Office documents (Word, Excel, PowerPoint), plain text, code, and common engineering exports. Extraction depth depends on the engine you select — from fast text-layer pulls to premium vision for scanned archives.
An owner promotes a folder into a hosted, billed corpus. Members see it as a sector in chat. Owners control disclosure mode (ghost vs open citations), extraction settings, and Stripe-backed subscription billing.
Vevesh is in active private preview with design partners. Core indexing, chat, and team KB flows are live; we are hardening server extraction pipelines and onboarding teams incrementally.
Vevesh is in active development with early design partners. Reach out to join the preview or discuss deployment for your team.
No spam. No sales deck unless you ask. We onboard engineering teams who have real folders to index.