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.
Regulated industries need LLMs on their infrastructure. Here's how to deploy fine-tuned models with data sovereignty, cost control, and production reliability.
Healthcare, finance, and government clients cannot send patient records, trade data, or classified documents to public APIs. Private LLM deployment — on-prem, VPC, or sovereign cloud — with LoRA fine-tuning on domain data delivers 90%+ of frontier model quality at 40–70% lower inference cost, with full data control.
Production RAG requires hybrid search, reranking, access controls, and citation — not just embedding documents into a vector database.
The next wave of enterprise AI isn't conversational — it's autonomous. Agents that ingest data, make decisions, and execute workflows without human intervention.
Contracts, invoices, medical records, and electoral forms hold critical data trapped in PDFs. IDP pipelines extract, validate, and route it at scale.
Whether you need a platform partner, enterprise engineering, or strategic technology leadership — let's architect what's next.