I will build an ai chatbot with rag langchain and openai


Level 1
About this gig
Want a chatbot that answers from your own PDFs, website and documents, and doesn't make things up? I build AI chatbots with RAG (retrieval-augmented generation), LangChain and OpenAI that give accurate answers and show where each one came from.
I'm a full stack developer with 4+ years of experience building AI chatbots and agents with Python, LangChain, LangGraph and FastAPI. My own RAG assistant answers questions from PDFs and web pages, and falls back to a web search when the documents don't have the answer.
What your chatbot can do:
- Answer questions from your PDFs, web pages and documents
- Show the source of each answer
- Say "I don't know" instead of guessing
- Remember the conversation
- Work through a clean web chat interface
- Use a vector database for fast, accurate search
What you get:
- A tested chatbot trained on your content
- Clean Python code you own
- A short guide on how to add new documents
- Support after delivery
Message me about your documents and what you want the bot to answer, and I'll tell you honestly which package fits.
Get to know Noman
Full Stack Developer, AI Automation Engineer, OpenAI, Claude expert
Level 1
- FromPakistan
- Member sinceAug 2025
- Avg. response time1 hour
- Last delivery2 weeks
Languages
Hindi, Urdu, English
My Portfolio
FAQ
What is RAG?
RAG lets the chatbot look up information in your own documents before it answers, so replies are based on your data instead of guesses.
Will the chatbot make things up?
I set it to answer only from your documents and to say it doesn't know when the answer isn't there.
Which AI model do you use?
OpenAI models by default. Other models can be used if you prefer, just ask before ordering.
Are there running costs?
AI usage and hosting are billed by the providers to you directly. I will explain the likely costs before we start.

