I will build advanced rag, graph rag and agentic rag with citations

J
junaidahmadnoor
J
junaidahmadnoor
Junaid

About this gig

Generic "chat with your PDFs" tools fall apart on complex enterprise data. You need RAG that handles relationships, multi-hop questions, and ambiguous queries.


I'm Junaid, a UK-based full-stack developer. I build advanced, graph, and agentic RAG systems - including a multi-tenant knowledge base live in my portfolio.


What I build:


Advanced RAG: hybrid retrieval (semantic + keyword + reranking), query rewriting, multi-doc fusion, source citations with confidence scores.

Graph RAG: knowledge graph extraction, entity-aware retrieval, multi-hop reasoning over Neo4j or in-memory graphs.

Agentic RAG: LLM agents that decide what to retrieve, tool use, self-correcting loops via LangGraph.


Every order includes:

- Production-ready system, deployed and live

- Clean, commented source code, 100% yours

- Architecture diagram and setup guide

- 14-day post-delivery bug-fix guarantee


Tech: Next.js, Node.js, FastAPI, OpenAI / Claude, LangChain, LangGraph, ChromaDB / Qdrant


Best fit for enterprise teams, consulting firms, AI startups, and anyone whose docs are too complex for naive RAG.

Message me your use case + sample docs. I'll reply with an architecture proposal within 24 hrs.

Get to know Junaid

Junaid

AI chatbots, RAG systems and MERN SaaS apps

  • FromUnited Kingdom
  • Member sinceOct 2025
  • Avg. response time1 hour
  • Languages

    English
I help SaaS founders and ops teams ship AI features that actually work in production — not weekend prototypes. Recent work: • AI chatbot — cut support tickets ~40% • Multi-tenant RAG knowledge base • Gmail → Slack / Notion automation • Full-stack AI SaaS MVPs Stack: React/Next.js, Node.js, FastAPI, MongoDB, OpenAI, Claude, RAG (Chroma/Qdrant), Docker. London. UK & US time zones. Reply under 2 hrs. Free 15-min scoping call — message me to start.

My Portfolio