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📚 RAG & IDP

Source-grounded intelligence on your hardest documents.

Complex PDFs, scans, images-in-PDF, tables — Vastvic’s intelligent document processing (MinerU, Docling, PaddleOCR) turns them into clean, structured, citable context. Every agent, workflow and generated app is grounded in your data, with source spans you can trust.

rag.vastvic.com/knowledge/product-docs-kb
Vastvic RAG in a live agent flow: retriever and vector store wired into a customer-support agent, grounded in real time

Integrations & connectors, provisioned as MCP clients

SStripe GGoogle MS Intune SendGrid Twilio AAnthropic OpenAI GGemini
IDP engines

MinerU · Docling · PaddleOCR.

Purpose-built engines for real enterprise documents: multi-column layouts, nested tables, images inside PDFs, and scanned pages. The output is structured and traceable, not a wall of text.

  • Layout-aware parsing of complex PDFs
  • OCR for scans and images-in-PDF
  • Table & figure extraction with structure preserved
  • Source-grounded spans for every extracted fact
grounded answer

“Q3 pricing rose 8% on the Pro tier.”

source: pricing.pdf p.4span ✓ verified
LangExtract & Extraction Studio

Extract exactly the fields you need.

Define a schema in plain language; Vastvic extracts source-grounded values across a corpus — ready for validation, review, and downstream automation.

  • Schema-driven, source-grounded extraction
  • Human review + validation gates
  • Feeds agents, workflows and generated apps
schema
1{ "vendor": str,
2  "total": money,
3  "line_items": […] }

Ground your agents in your real documents.

Turn messy PDFs and scans into structured, citable context — and build apps that answer from your data, not guesses.