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$
USD
I will build a custom ai agent, rag chatbot, or document QA system with langchain
M.Mansoor
About this gig
Are you sitting on a pile of PDFs, docs, or internal data and wish your team could just ask it questions? I'll build you a production-ready RAG (Retrieval-Augmented Generation) system that does exactly that.
What I build:
RAG pipelines upload documents, ask questions, get accurate answers
AI chatbots powered by OpenAI / Gemini / open-source LLMs
Spring Boot backend with vector database integration (Pinecone, ChromaDB, pgvector)
React frontend with clean chat UI
REST APIs you can plug into any existing system
LangChain / LangGraph workflows
Authentication, rate limiting, deployment-ready code
Common use cases I've built:
- Customer support bots trained on your documentation
- Internal knowledge bases your employees can query
- Legal / HR / Finance document QA tools
- AI assistants for SaaS products
My stack:
Java | Spring Boot | React | LangChain | OpenAI API | Pinecone | ChromaDB | pgvector | Docker | REST APIs | MySQL | PostgreSQL
Message me before ordering tell me what you're building and I'll confirm exactly what's possible within your budget.
Get to know M.Mansoor
M.Mansoor
AI and Full Stack Engineer, AI Chatbots, LLM Apps, Java Spring Boot, Web Apps
- FromPakistan
- Member sinceApr 2020
- Avg. response time1 hour
- Last delivery1 month
Languages
Urdu, English
AI is at the heart of what I build. I create AI agents, RAG chatbots and LLM apps (OpenAI, Gemini, LangChain) that let businesses chat with their own data, plus the web apps, custom software and SaaS backends around them.
A major bank and multinational FMCG brands trust my code in production. I ship fast using modern AI coding tools.
Stack: Java Spring Boot, Python FastAPI, Node, React, Next.js, Postgres, Qdrant, Docker, AWS.
5.0 rated, 1-hour response. Tell me your idea and I'll turn it into a clear plan, price and timeline.
My Portfolio
FAQ
What information do you need to start?
Tell me your use case, what documents/data you want to use, which LLM you prefer (OpenAI, Gemini, or open-source), and your preferred database. I'll confirm the scope and timeline before we begin.
Can you use my existing backend or codebase?
Yes. Share your repo and I'll integrate the RAG pipeline into your existing system.
Do I need an OpenAI API key?
Yes, you'll need your own API key. I'll guide you on setup if needed. I can also use open-source models (Ollama, HuggingFace) to avoid API costs.
Will the code be production-ready?
Yes — proper error handling, logging, environment configs, and documentation are always included.
Can you deploy it for me?
Deployment to AWS, Railway, or Render is included in the Premium package. It can be added to other packages as an extra.
