Enterprise Knowledge Retrieval Assistant (RAG)

Data

Policy manuals, SOPs, FAQs, and internal documents across PDF, DOCX, and HTML.

Objective

Deploy a secure retrieval-based assistant to answer internal queries with traceable, source-linked responses.

Outcomes

• Delivered a production RAG system with source-linked responses and feedback loops.
• Achieved <1.8s end-to-end latency with hybrid retrieval and prompt-side caching.
• Reduced Tier-2 escalations by ~30% through accurate, attributable answers.

Tech

Azure OpenAI, Azure AI Search, Python, LangChain, Azure Functions, Blob Storage.