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.
Enterprise AI needs guardrails — but over-engineered compliance frameworks kill adoption. The right balance: policy-as-code, human-in-the-loop, and observable agents.
CISOs block AI projects without governance. Engineers abandon them when governance blocks shipping. The solution is layered guardrails: input/output filtering, PII detection, action approval workflows for high-risk operations, and complete audit logging — implemented as infrastructure, not bureaucracy.
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.