
What RAG really involves — ingestion, retrieval, evaluation — and how to choose who builds it.
Ingestion, chunking, embeddings, retrieval, generation, and evaluation — each stage has failure modes that show up in production.
Users should only get answers from content they are allowed to see. This is an architectural decision, not an afterthought.
Retrieval quality and answer quality must be measured against real queries, with continuous evaluation after launch.
Most RAG builds range from $15,000 to $60,000 depending on document volume, access-control requirements, and quality targets.
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Talk to an AI Engineer →What to look for, what to ask, and the red flags that separate production AI teams from demo builders.
Agents take action, which means reliability, guardrails, and evaluation matter more than ever.