AI-Powered Enterprise Document RAG & Knowledge Agent
Unlocking 50,000+ internal PDF reports with semantic vector search and natural language querying.
1. The Challenge & Problem Statement
Consultants spent over 15 hours per week manually searching through tens of thousands of complex internal PDF research reports and compliance archives.
2. The Engineered Solution
Viraat Systems deployed an enterprise RAG (Retrieval-Augmented Generation) pipeline using OpenAI models, Pinecone vector database, and LangChain orchestration with role-based access control.
3. System Architecture & Topology
Private document ingestion pipeline converting documents into vector embeddings stored in Pinecone, with FastAPI middleware handling token authorization and prompt guardrails.
Technologies Deployed
"This AI platform has become our team's second brain. We can retrieve complex regulatory answers in seconds that used to take days of manual research."