Core_Engine_Module_01
Universal
Data Absorption.
Vetra consumes files instantly. Our engine normalizes unstructured PDF, Word, and raw text into a unified neural schema.
Multi-Format OCR
Scanned resumes and images are processed via our proprietary OCR layer, ensuring zero data loss regardless of document quality.
Latency: < 200ms
INGESTION_DAEMON
> [SYS] Init stream...
> [PARSER] PDF_0492 -> JSON
> [VECTOR] Embedding...
> [PARSER] PDF_0492 -> JSON
> [VECTOR] Embedding...
01
Semantic Normalization
Every file is stripped of its visual layout and converted into a semantic token stream. We ignore biased data (photos, formatting flourishes) and focus entirely on the merit of the text content.
02
Entity Extraction
Our engine automatically identifies skills, years of experience, and educational lineage. It relates "React" to "Frontend Development" without needing a pre-defined keyword list.
Start your data pipeline.
Experience the speed of Neural Ingestion firsthand.