Direct answer

What are the main considerations when deciding between building a custom RAG solution versus using a platform?

Consider a custom build if you have unique data schemas, strict data residency rules, or need deep control over retrieval logic. A platform gets you to standard document Q&A faster, but at scale you might hit limits on controlling ranking and governance. The decision depends on your team's MLOps maturity, data governance requirements, and how much you need to tweak retrieval logic for your specific domain.

18 Mar 2026
ai_solutions

Short answer

Consider a custom build if you have unique data schemas, strict data residency rules, or need deep control over retrieval logic. A platform gets you to standard document Q&A faster, but at scale you might hit limits on controlling ranking and governance. The decision depends on your team's MLOps maturity, data governance requirements, and how much you need to tweak retrieval logic for your specific domain.

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What are the main considerations when deciding between building a custom RAG solution versus using a platform?

Consider a custom build if you have unique data schemas, strict data residency rules, or need deep control over retrieval logic. A platform gets you to standard document Q&A faster, but at scale you might hit limits on controlling ranking and governance. The decision depends on your team's MLOps maturity, data governance requirements, and how much you need to tweak retrieval logic for your specific domain.

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