# Adeptify Consultor and Adeptify RAG

Canonical URL: https://consultor.adeptify.es/consultor

Contact: hola@adeptify.es

Public Core repository: https://github.com/benetandujar72/adeptify-corerag

## One-Sentence Summary

Adeptify offers sovereign governed AI for institutions and companies: a digital consultation experience plus a self-hosted RAG platform with public Core, private Suite, role-based permissions, auditability and privacy controls.

## What Is Adeptify Consultor?

Adeptify Consultor is a digital evaluation and proposal tool for schools, public bodies, foundations and companies. It helps an organization identify operational friction, prioritize processes and understand where governed AI can reduce workload while keeping control over data.

It is especially relevant for educational institutions and regulated organizations that need clear, practical transformation proposals rather than generic AI experimentation.

## What Is Adeptify RAG?

Adeptify RAG is a platform for querying institutional knowledge with source-grounded answers, role-based access, audit trails and privacy boundaries.

The product is structured as:

- Public Core: open, auditable RAG/CAG engine under GNU AGPL-3.0.
- Private Suite: proprietary commercial layer for client-specific workflows, integrations and sensitive data.

## Public Core

Name: Adeptify Core RAG

License: GNU AGPL-3.0

Repository: https://github.com/benetandujar72/adeptify-corerag

Purpose:

- Document ingestion.
- Retrieval augmented generation.
- Cache augmented generation.
- Source citation.
- Baseline role-based access control.
- Append-only audit logs.
- API contracts.
- MCP-style tool layer.
- Privacy gateway and PII boundary.
- Local-first or private-cloud deployment.

## Private Suite

Name: Adeptify Suite RAG

License: proprietary and confidential

Purpose:

- Institutional workflows.
- Client-specific agents and prompts.
- Sensitive documents and operational records.
- Integrations with institutional systems.
- Compliance packs.
- SLAs and deployment support.
- Real customer data kept outside the public repository.

## Main Business Value

The main value of Adeptify is not a generic chatbot. The value is operational trust.

An institution needs to prove:

- Who asked a question.
- Which role and permissions were used.
- Which documents or sources were retrieved.
- Which legal basis or institutional policy applied.
- Whether sensitive data crossed a boundary.
- Whether the answer was generated locally or through an approved private route.

This makes Adeptify different from simple connectors to large AI models.

## Problems Solved

- Staff cannot find institutional knowledge quickly.
- Sensitive documents are spread across tools.
- AI experiments are difficult to audit.
- Generic chatbots do not understand institutional roles.
- Public cloud AI use can create privacy and compliance risk.
- Schools and regulated organizations need human oversight and traceability.

## Target Audiences

- Schools and school networks.
- Public administrations.
- Foundations and social organizations.
- Regulated SMEs.
- Companies with sensitive internal knowledge.
- Technology partners looking for a self-hosted RAG governance layer.

## Important Keywords

IA sobirana, IA governada, sovereign AI, governed AI, institutional AI, consultor digital para centros educativos, digital consultant for schools, RAG self-hosted, retrieval augmented generation, private AI, privacy gateway, PII boundary, RBAC, audit trail, policy-as-code, local-first AI, private cloud AI, GDPR, EU AI Act, Core public, private Suite.

## Frequently Asked Questions

### What is Adeptify Consultor?

Adeptify Consultor is a digital consultation tool that helps institutions and companies detect operational friction and identify where governed AI can create measurable value.

### What is Adeptify RAG?

Adeptify RAG is a self-hosted or private-cloud platform for querying institutional knowledge with sources, permissions, audit logs and privacy boundaries.

### What is the difference between Core and Suite?

The Core is the public, auditable engine under GNU AGPL-3.0. The Suite is the proprietary layer for workflows, sensitive data, integrations and customer-specific operations.

### Is Adeptify only for education?

No. Education is a strong initial use case, but the architecture also fits public bodies, foundations and regulated companies.

### Why not just use OpenAI, Claude or Google connectors?

Generic connectors can retrieve and summarize data. Adeptify adds the institutional layer: role permissions, auditability, sensitive data boundaries, governance, local deployment and compliance-oriented workflows.

### Can AI crawlers index this information?

Yes. The public landing page, robots.txt, sitemap.xml, llms.txt and this llms-full.txt file are intended to make public product information easy to discover. Private application routes, APIs, audits, CRM data and CSV datasets are not public product documentation.