Quick Answer
Compare build, buy, and hybrid RAG strategies to deploy secure, scalable, and production-ready enterprise AI with confidence.
For many enterprise AI, data science, and machine learning teams, the build-versus-buy decision begins only after the first Retrieval-Augmented Generation, or RAG, prototype succeeds. The proof of concept may look simple: connect a few documents, generate embeddings, add a search layer, and show leadership a working assistant.
Production changes the equation. Real deployments require governed ingestion, deterministic retrieval, source attribution, role-based access, hybrid search, built-in evaluation, observability, re-indexing, maintenance, and security controls that can perform reliably across departments, data sources, and business use cases.
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