Insights on enterprise AI, RAG architecture, governance, and reliability engineering from the FlashQuery team.
If AI is becoming a primary interface for how we work, then the traditional "app" may be dissolving. An open-source data layer that any AI can talk to — where your data stays transparent, portable, and yours.
30 CVEs in 60 days exposed critical flaws in MCP, the protocol connecting AI agents to enterprise tools. The real issue isn't the bugs; it's a trust model that assumes every agent should have the keys to everything.
While enterprises debate which AI model wins, a quieter race is being run for control of something more valuable: your organization's accumulated context. The resulting lock-in is unlike anything in enterprise software history.
GenAI systems fail quietly without lifecycle testing. Drawing on chip test engineering principles, this article argues that RAG pipelines need the same reliability discipline as semiconductor manufacturing.
A practical guide to overcoming the data-scale, compliance, multi-tenancy, and retrieval-accuracy challenges that surface when RAG moves from proof-of-concept to production.
The hidden complexity and strategic costs of building RAG in-house, and why pre-built solutions often deliver faster time-to-market and better long-term value for enterprise teams.
How Retrieval-Augmented Generation connects enterprise datasets to actionable insights, supports high-stakes decisions, and strengthens engagement across customers and employees.
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