DataVersion - AI Document Intelligence
50,000+ technical documents processed with 99.2% accuracy
Visit DataVersion AI50,000+
Documents Processed
99.2%
Answer Accuracy
< 3 seconds
Response Time
Tesla, Kawasaki, Lucid Motors
Clients Include
The Problem
DataVersion turns technical manuals, SOPs, datasheets, and engineering drawings into a searchable AI knowledge base. Engineering teams were spending 3-5 hours daily digging through documentation. They needed a RAG pipeline that could handle OCR, table extraction, and complex technical formats while citing exact pages and sections.
Our Approach
Built the document processing pipeline with FastAPI handling ingestion, OCR, and chunking. Pinecone as the vector store for embeddings. Supabase for metadata and user management. Next.js frontend with a chat interface. Deployed on AWS with auto-scaling for enterprise workloads. The key challenge was handling technical formats like CAD references, spec tables, and scanned PDFs accurately.
Pipeline Breakdown
01 · Collect
- Document upload (PDF, DOCX, XLSX, images)
- OCR processing
- Table and diagram extraction
02 · Process
- Chunking and embedding pipeline
- Pinecone vector search
- RAG with source citations
03 · Act
- Chat interface with instant answers
- Exact page and section references
- Knowledge base for teams
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