Enterprise RAG Architecture: Beyond Naive Vector Search
Production RAG requires hybrid search, reranking, access controls, and citation — not just embedding documents into a vector database.
Contracts, invoices, medical records, and electoral forms hold critical data trapped in PDFs. IDP pipelines extract, validate, and route it at scale.
Intelligent Document Processing combines OCR, layout analysis, and LLM extraction to turn unstructured documents into structured data that flows into ERP, CRM, and workflow systems. The highest-ROI IDP projects target high-volume, repetitive document types — leases, invoices, claims, and compliance forms.
Production RAG requires hybrid search, reranking, access controls, and citation — not just embedding documents into a vector database.
Regulated industries need LLMs on their infrastructure. Here's how to deploy fine-tuned models with data sovereignty, cost control, and production reliability.
The next wave of enterprise AI isn't conversational — it's autonomous. Agents that ingest data, make decisions, and execute workflows without human intervention.
Whether you need a platform partner, enterprise engineering, or strategic technology leadership — let's architect what's next.