⛔ STOP treating RAG as context.
RAG retrieves similar evidence.
But similarity is not enough.
Similar evidence may not be applicable, complete, current, authorized, or actionable.
Without Live Context, RAG does not reliably know:
* which policy applies to this decision
* which version is currently effective
* which customer, case, state, or event matters
* what the current actor is allowed to see
* what must be masked or transformed
* which instruction is general and which is an exception
* which evidence overrides another
* what changed since the last interaction
* whether the agent is allowed to act on what it found
🚩 So RAG can return the right paragraph and still produce the wrong answer.
It can retrieve an outdated policy.
It can mix instructions from different jurisdictions.
It can expose information the user should not see.
It can miss the exception buried in another section.
It can give the same answer to two users who should receive different answers.
That is not just a retrieval problem as it becomes a context problem.
Live Context makes knowledge situational.
It combines retrieved evidence with current data, semantics, roles, permissions, state, events, and governed transformations.
💣 Because AI does not just need relevant knowledge. Live Context makes it usable.
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Posted here.
Published July 17th, 2026 at 07:30 am
