Security & governance

Built for control, not generic AI behavior

EloRAG is designed for controlled RAG delivery. With approved-only retrieval, tenant-aware boundaries, audit visibility, and citation-based answers, the system stays aligned with governed business knowledge instead of broad AI guesswork.

Governed content lifecycle

Content moves through Draft → Review → Approved. EloRAG only answers from Approved content.

Strict tenant isolation

Multi-tenant boundaries help ensure data stays separated across environments and delivery contexts.

Audit visibility

Queries, citations, and access behavior remain traceable for stronger operational oversight.

3D shield visual representing governed AI boundaries and control
Tenant Isolated
Approved-Only Retrieval
Approved-only access

Your AI only sees what your team explicitly approves

Technical isolation keeps Draft and Review content out of the retrieval layer. That reduces the risk of premature answers, unsupported claims, and knowledge leakage into production responses.

Content repository
Draft
Work in progress
In Review
Pending approval
Approved
Production ready
Retrieval engine

EloRAG AI

Answers generated only from approved, cited sources.

Strict state isolation
Draft and Review content remain outside the answering pipeline, so the model has no access to unapproved knowledge.
Approved-only retrieval
Only documents that pass your workflow and reach Approved status are indexed and available for retrieval and citation.
Traceable governance history
State changes from Draft to Review to Approved can be tracked for stronger compliance and operational oversight.
Citation-based answers

Every answer should be backed by evidence

EloRAG retrieves only from Approved content and returns exact source citations so teams can verify what the answer is based on.

EloRAG Assistant

Governed Mode Active
What is our policy on remote work equipment and stipends?

Based on the approved company policies, employees transitioning to remote work are eligible for a one-time stipend of $500 to purchase necessary home office equipment.

Please note that all hardware and peripherals purchased with these company funds remain the exclusive property of the company and must be returned upon termination of employment.

Generated from 2 approved sources.
Ask a question based on approved content…

Verifiable answers matter

In business environments, an answer without a source can become a liability. EloRAG makes it easier to verify what the system is actually using.

Refusal over guessing

If the answer is not supported by approved documents, EloRAG refuses instead of inventing a response.

Exact traceability

Each claim can point back to a specific document and supporting excerpt.

Governed retrieval only

Draft and Review content stay outside the answering engine until approved.

Click [1] or [2] in the mockup to view the supporting reference.
Refusal logic

Refusal is safer than confident guessing

In controlled business environments, a wrong answer can do more damage than no answer. EloRAG is built to refuse when approved evidence is missing instead of generating something that sounds plausible.

Generic AI

Optimized to answer anyway

What is the exact budget allocated for Q3 marketing in the new European expansion plan?
Based on typical expansion plans, the Q3 marketing budget is likely around $2.5 million, focusing primarily on digital acquisition and local partnerships.
High risk: answer generated without approved evidence
EloRAG Platform

Governed RAG delivery

What is the exact budget allocated for Q3 marketing in the new European expansion plan?
I cannot find sufficient evidence in approved sources to answer this question.
Safe behavior: no approved evidence, so no answer
Audit & isolation

Audit visibility and tenant-aware boundaries

EloRAG is built for environments where teams need to trace how content moves, how answers are generated, and how tenant separation is maintained across the platform.

Live System Audit Log

WSS://API.ELORAG.COM/V1/AUDIT/STREAM

Encrypted
Timestamp (UTC)
Tenant ID
Actor
Event Description
2023-10-27T10:42:01.001Z
tn_8f92a
system
Tenant isolation policy verified. Strict boundaries enforced.
2023-10-27T10:45:12.332Z
tn_8f92a
j.doe@acme.com
Uploaded document 'Q3_Report.pdf'. Status set to DRAFT.
2023-10-27T10:50:05.110Z
tn_8f92a
compliance_officer
Document 'Q3_Report.pdf' transitioned from DRAFT to APPROVED.
2023-10-27T11:02:22.845Z
tn_8f92a
api_key_v2_…
Query executed. 3 citations generated from APPROVED content only.
2023-10-27T11:05:44.901Z
tn_8f92a
guest_user
Access denied. Attempted to query DRAFT content.
2023-10-27T11:15:00.000Z
tn_3b19c
system
BYO-Key validation successful for external LLM provider.
2023-10-27T11:20:33.412Z
tn_3b19c
api_key_v1_…
Capacity threshold reached (85%). Alert dispatched to billing admin.
2023-10-27T11:25:10.105Z
tn_8f92a
system
Insufficient evidence in APPROVED content. Refusal policy triggered.
2023-10-27T11:30:00.000Z
tn_8f92a
admin_smith
Exported immutable audit log for compliance review.

Logs are retained according to configured governance and retention controls.

Policy controls

Granular controls for governed RAG delivery

Apply operational rules across tenants and environments from a centralized policy layer designed for controlled retrieval and answer behavior.

Strict tenant isolation
Keep tenant data and retrieval boundaries separated across managed environments.
BYO-Key enforcement
Require tenants to provide their own LLM and OCR keys instead of relying on platform fallback keys.
Approved content only
Restrict answers to content that has passed your governance workflow and reached Approved status.
Mandatory citations
Require exact source support for responses and refuse when that evidence is not available.
Audit logging
Keep traceable logs for queries, retrieval behavior, and configuration changes.
Retention limits
Set rules for temporary files, cached OCR output, and interaction history retention.