Developers · Updated 15 Oct, 10:30 pm IST
Platform teams should avoid building their own AI context layer
Why it matters for readers: It explains why what looks technically simple can become a big organizational and trust problem over time.
- Teams can assemble a vector database and RAG pipeline quickly, but keeping it reliable is a continuous effort.1
- A production-grade pipeline involves multiple stages—capture, deliver, and govern—that each introduce ongoing costs.1
- Maintenance tasks include keeping connectors alive, ensuring consistent answers across tools, and managing stale or duplicated documents.1
- The trap is underestimating recurring trust, compliance, and integration work that grows as sources and agents increase.1
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