Enterprise RAG & AI Intelligence Engine
Domain-grounded LLM assistant with vector embeddings and multi-document synthesis.
Enterprise RAG & AI Intelligence Engine
Architecture: Next.js · Node.js · Scalable Cloud Engine
Technology Stack Used
Performance & Business Impact
System Architecture
Built a production RAG pipeline using vector embeddings, hybrid semantic search, and domain-grounded LLM orchestration to provide enterprise teams with instant answers from private internal knowledge bases.
Client Challenge
Customer support and sales engineers spent hours searching across fragmented document repositories, resulting in slow customer response times.
Engineered Outcome
Deployed an internal AI copilot that reduced support ticket resolution times by 55% while maintaining strict data privacy boundaries and citation accuracy.
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