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PrototypeAI & RAG

Enterprise Knowledge Graph & Intelligence Portal

Connects email history, ERP master data and Google Workspace activity in a knowledge graph to power AI search and relationship analysis.

Overview

An enterprise intelligence prototype that links information from several business sources so people and AI can search across them and understand organisational relationships.

Problem

Important context lives in email, ERP master data and workspace activity that are never joined, so relationship questions cannot be answered from any one system.

Solution

Integrate the sources into PostgreSQL and a Neo4j graph, then apply RAG and AI search over the connected data.

Architecture

Enterprise Knowledge Graph & Intelligence Portal architecture, top to bottom
  1. 01

    Sources

    • Email history
    • ERP master data
    • Google Workspace activity
  2. 02

    Integration

    • Enterprise data integration
  3. 03

    Stores

    • PostgreSQL
    • Neo4j knowledge graph
  4. 04

    AI layer

    • AI search
    • RAG
  5. 05

    Portal

    • Intelligence portal
  • Relational storage in PostgreSQL alongside a Neo4j graph of entities and relationships.
  • GraphRAG-style retrieval is being explored on top of the graph and is project-level work.

Key features

  • Cross-source enterprise search
  • Organisational relationship analysis
  • Graph-backed retrieval for AI

Engineering challenges

  • Resolving entities consistently across email, ERP and workspace data.
  • Applying access control to retrieval across sensitive sources.

Results

No measured outcomes are published for this project. I only list results that have been verified.