RAG reliability — control retrieval, context & feedback loops

RAG reliability — control retrieval, context & feedback loops targets a $15.6B = 780,000 mid+enterprise orgs x $20K ACV (knowledge/retrieval reliability & tooling) total addressable market with medium saturation and a year-over-year growth rate of 30-45% — adoption of RAG and enterprise AI tooling is accelerating as models and vector infra mature.

Key trends driving demand: RAG adoption -- more teams use retrieval-augmented generation instead of pure LLM prompting, increasing demand for reliable retrieval; Vector DB maturity -- managed vector databases and embedding services lower infra friction and enable specialized control layers; Observability for AI -- teams expect monitoring, provenance and explainability similar to traditional apps, creating demand for reliability tooling.