Document Intelligence / RAG

Procurement Intelligence AI

A reproducible document-processing foundation designed for traceable retrieval over heterogeneous procurement documents.

Procurement Intelligence AI
01 // BUSINESS PROBLEM & STRATEGY

THE PROBLEM THAT NEEDED SOLVING

Procurement documents arrive in inconsistent formats and contain structure that generic text extraction can easily destroy: sections, clauses, tables, page boundaries, vendor context, and archive structure.

WHAT WAS ACTUALLY IMPLEMENTED

Built a format-aware ingestion pipeline that validates inputs, routes supported formats to dedicated parsers, normalizes content into a canonical document model, enriches provenance metadata, and applies structure-aware chunking before vector storage.

02 // TECHNICAL IMPLEMENTATION & ARCHITECTURE

The ingestion layer includes safe ZIP inspection with a Zip-Slip path traversal shield, multi-encoding CSV detection, table-preserving chunking, and provenance carried from source file through normalized blocks and chunks.

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