Cross-EnterpriseEnterprise Knowledge (RAG & Y-Ray Data)VPC / On-Premise

Corporate IP Search

Deploy a Sovereign Corporate Brain that indexes fragmented internal knowledge (wikis, Jira, Slack) to instantly provide employees with exact, cited answers instead of standard intranet keyword links.

The Baseline

Problem

Standard corporate intranets rely on keyword search, forcing employees to read dozens of wikis, PDFs, and stale documentation to find a single operational answer. This constant context-switching destroys engineering velocity, onboarding speed, and overall productivity.

Solution

Y-Ray Data deploys a localized Sovereign Corporate Brain, enriching foundational models with company wikis, Jira tickets, codebase repositories, and Slack histories. It maps this data to strict Role-Based Access Control (RBAC) to ensure security.

Result

Transforms scattered corporate knowledge into an instant, conversational intelligence asset. Employees retrieve exact, verified procedures and historical technical decisions in seconds, drastically accelerating enterprise workflows.

Architecture Flow

1

Continuous Ingestion (Y-Ray Data)

The engine securely indexes millions of fragmented enterprise documents (Confluence wikis, resolved Jira tickets, engineering design docs (RFCs), and Slack project channels) into a centralized, localized vector database without moving the files.

2

Access Mapping (RBAC Integration)

The Orchestration Engine syncs with the company's Active Directory (e.g., Okta or Entra ID). Every vectorized chunk of text is mapped to strict permission tiers.

3

Conversational Query (AVELIN GPT)

A senior engineer queries the localized AVELIN GPT interface in natural language: "Why did we choose Postgres over MongoDB for the 2024 microservice migration?"

4

Contextual Retrieval & Citation

The model instantly retrieves the precise technical design document from a year ago. It synthesizes the exact reasoning, outputting the verified answer and utilizing y-ray deep-trace to strictly cite the original Confluence page and the specific architect's Slack message for absolute certainty.

Core Infrastructure

ComponentRole
Y-Ray DataConsolidates massive, disparate corporate knowledge silos into a single, highly accurate semantic search engine without exposing internal intellectual property to public cloud indexing.
AVELIN GPTProvides a familiar, highly secure conversational interface that replaces inefficient legacy intranet search bars and unorganized shared drives.
y-ray Deep-TraceEliminates dangerous hallucination by forcing the AI to mathematically link its answer to the exact coordinate and page of the verified internal document.

Technical Specifications

Encryption

AES-256 for data at rest; TLS 1.3 for data in transit

Compliance

SOC2 Type II, ISO 27001, and strict internal corporate data governance frameworks

Infrastructure

Deploys natively inside your existing AWS/Azure VPC or entirely on-premise on secure corporate servers

Build this architecture

Map this workflow to your internal data models. Deploy AVELIN AI to gain sovereign control over your enterprise intelligence.

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