RAG AI for Property Management: Complete Implementation

What is RAG? Fundamental Definitions and Concepts

RAG (Retrieval-Augmented Generation) is an AI architecture that combines intelligent search with response generation. Unlike generic ChatGPT which only "remembers" training information, RAG:

1. Searches relevant documents in your database
2. Extracts the most pertinent fragment
3. Generates a response citing the exact source

RAG vs Generic LLMs: Why RAG Wins

Problem with ChatGPT: "What is article 17.2 of the LPH?" → Can give a correct-sounding answer but made it up (hallucination).

Solution with RAG: Automatically searches for the real article in your database, extracts it word-for-word, and gives you a 100% verified answer with citation to the original PDF.

Implementation in Igera Solutions

Igera is built on three layers of RAG:

• Public Layer: LPH + European legislation preloaded (without the admin uploading anything)
• Community Layer: Bylaws, internal regulations and documents specific to each community
• Operational Layer: Contracts, budgets, and community decision history