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Real Estate

RAG for Compliance Document Analysis

InfraDev

RAG for Compliance Document Analysis

The Problem

A major real estate developer faced significant delays in their projects due to the slow and manual process of reviewing thousands of pages of regulatory and compliance documents.

Our Solution

We implemented a Retrieval-Augmented Generation (RAG) system to create a conversational AI assistant for legal and compliance teams. This involved setting up a document parsing pipeline, using a vector database (Qdrant) for efficient similarity search, and leveraging Azure OpenAI for accurate, context-aware answers from the document corpus.

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