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Retrieval-Augmented Generation (RAG) Enterprise Chat System

As an AI Developer on the Microsoft-backed Vishnu Vardhan Burri project, I engineered a Retrieval-Augmented Generation (RAG) enterprise chat system using Python, Flask, LangChain, OpenAI/Groq models, PostgreSQL with pgvector, and Azure/OpenAI APIs. This internal knowledge assistant leverages advanced prompt engineering, chunking strategies, hybrid search, and stringent access controls to efficiently manage enterprise documents, significantly reducing internal support tickets and exemplifying our commitment to engineering trustworthy software solutions.

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