Blog

Engineering knowledge, written for builders

Practical articles on RAG architecture, standards traceability, extraction pipelines, and team knowledge bases — from the team building Vevesh.

All posts Architecture Billing Citations Engineering Extraction Indexing Knowledge Base Pipeline Privacy RAG Safety Security Standards Team
PrivacySecurity

Zero-retention privacy architecture for engineering AI

A deep technical guide to zero-retention design, military-grade data boundaries, and why engineering teams cannot treat AI like consumer chat — from the architects of Vevesh.

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TeamKnowledge Base

Team knowledge bases — sharing engineering corpora without losing control

Promote a folder into a billed, shared knowledge base with ghost or open citation modes. How Vevesh handles membership, Stripe billing, and retrieval policy.

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ExtractionKnowledge Base

Local vs server extraction — choosing the right engine for your knowledge base

Express, Structure, Flow, or Premium? Local desktop extraction vs server pipeline— a practical guide for engineering document sets.

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StandardsCitations

IEC standards and AI — how citation grounding prevents costly mistakes

When AI answers govern structural and safety decisions, vague citations are a liability. Learn how page-level grounding keeps standards review auditable.

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RAGEngineering

Why folder-native RAG beats document upload for engineering teams

Engineering knowledge lives in nested project folders—not chat attachments. Here is why persistent folder indexing outperforms one-off file uploads for technical teams.

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Deep-dive series — 20 topics, 2,000+ words each

We publish one serious article at a time — architecture, privacy, workflows, and benchmarks. No filler posts.

  • Live Zero-retention privacy architecture for engineering AI
  • Soon Military-grade data boundaries in enterprise RAG deployments
  • Soon The complete guide to hybrid local–cloud Vevesh deployment
  • Soon Mobile, desktop, and browser parity for field engineering teams
  • Soon Version-control-aware indexing: hashes, reverts, and Rev D sanity
  • Soon Live sync review: reading the four-metric pipeline honestly
  • Soon Evidence packs: building audit-ready AI outputs for design review
  • Soon When sources disagree: advanced conflict resolution in RAG
  • Soon Five extraction engines: a technical deep dive from Express to Premium
  • Soon PhD and research literature workflows with citation-grade RAG
  • Soon Cross-format deep search: hybrid vector, BM25, and rerank at scale
  • Soon History, revert, and index rollback for engineering teams
  • Soon Global verified industry sector knowledge bases explained
  • Soon Ghost vs open disclosure and consultant mode for client work
  • Soon Project file meshing: visualizing related documents as a graph
  • Soon Verification loops and human-in-the-loop engineering RAG
  • Soon Tool calling at scale for multi-step engineering workflows
  • Soon Team RBAC, privileges, and project-level KB restrictions
  • Soon Offline project RAG vs online team KB: benchmarks and trade-offs
  • Soon AI tuning engines and model-specific workflow routing