Domain AI agents that answer from your knowledge — not generic guesswork.
A LangGraph RAG multi-agent marketplace where HR, Finance, Support, and Operations each maintain their own knowledge base. Built with Qdrant, Google Gemini, NestJS microservices, and React — turning fragmented enterprise documents and emails into conversational intelligence.
Enterprise knowledge was abundant — and almost impossible to reach.
Critical information lived across documents, emails, and department silos. Traditional search lacked context, and a single generalised AI model could not meet the accuracy demands of multiple business domains.
Knowledge silos across departments
HR, Finance, Support, and Operations each held separate, inaccessible information stores.
Manual document search without context
Search was slow and returned results without meaningful relevance to the question.
Unstructured data left behind
Emails, scanned files, images, and PDFs sat outside any intelligent retrieval system.
No scalable multi-domain AI
Adding AI for a new department meant duplicating infrastructure and engineering effort.
Client
Enterprise knowledge organisation
Industry
AI & Intelligent Systems
Integrations
LangGraph · Qdrant · Gemini · Gmail
Engagement
Hours → seconds retrieval