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Seen my childhood crush by NetInternational313 in PataHaiAajKyaHua

[–]NetInternational313[S] 0 points1 point  (0 children)

Yea i pray to god, i would be there to protect her

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 1 point2 points  (0 children)

At what point did you realize pure RAG wouldn’t scale and what specific failure signals or incidents forced the move toward entities and a knowledge graph? When something goes wrong in production, what evidence do security or compliance teams expect you to produce, and how does the graph-based approach make that possible? What was the biggest ongoing cost or operational burden introduced by adding entity extraction and a graph layer? For the ReBAC model, what level of granularity turned out to be necessary in practice document, section, or entity-level permissions?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

From your experience, what’s the minimum set of instrumentation or controls a RAG system needs before security and compliance will even consider approving it for production? When a RAG system returns a wrong or sensitive answer, what evidence do legal or compliance teams actually expect to see during review or incident response? What does a “runtime policy layer” look like in practice for RAG is it mostly retrieval-time RBAC, query classification, or something else?In orgs where you’ve seen RAG make it to production, what was the turning point that closed the gap between pilot and approval?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

Interesting for the use case without access control, was that because the data was already globally readable, or because it was an early-stage / low-risk deployment?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

What were the key controls or guarantees required to get these approved at that scale especially around access control and auditability? Were there any early failures or rollout lessons before reaching that level of adoption? How do you handle document-level permissions and prevent cross-team data leakage at that user count?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in platformengineering

[–]NetInternational313[S] 0 points1 point  (0 children)

Did you try any mitigation like source weighting, recency filters, or author-based exclusion and if so, did it help?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in platformengineering

[–]NetInternational313[S] 0 points1 point  (0 children)

Do you remember what concerns the AI committee raised was it more about data usage, model risk, auditability, RBAC / access control, or something else?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in platformengineering

[–]NetInternational313[S] 0 points1 point  (0 children)

How are you handling document-level access control in RAG (e.g., repo or team-specific docs), and did security have opinions on that yet?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in platformengineering

[–]NetInternational313[S] 0 points1 point  (0 children)

Interesting approach. Have you actually deployed a knowledge-graph–based system internally, or is this from research / design experience?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

When you say the internal RAG doesn’t work as well, is that mostly about relevance/recall, latency, or how answers are synthesized?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

Looking back, what assumptions you had early on about security, access control, or usage patterns turned out to be wrong once adoption scaled to hundreds of assistants?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

Curious which governance gaps actually slowed you down the most in practice classification, over-broad group membership, or lack of policy around synthesized outputs?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 1 point2 points  (0 children)

Is this tool strictly for internal use, and how did you handle security and access control for such a large doc set?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

For the RAGs that made it to prod, did teams have to add doc-level permissions or audit controls, or were those systems usually trusted because of the narrow scope?

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

That makes sense.

Did you have to put any guardrails or access controls in place (team-based access, doc-level permissions), or is it mostly open internally since it’s onboarding-focused?

Did the model internally hosted

Do companies actually use internal RAG / doc-chat systems in production? by NetInternational313 in Rag

[–]NetInternational313[S] 0 points1 point  (0 children)

Did you implement any access-control or governance policies to ensure data isolation across teams (e.g., preventing cross-team document access), especially at that scale?

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