I will develop a custom gpt rag ai chatbot with langchain and openai api


About this gig
CUSTOM GPT | RAG CHATBOT DEVELOPMENT | LANGCHAIN + OPENAI API
I develop AI chatbots trained on your own data not generic wrappers. Using LangChain and the OpenAI API, your bot retrieves from your documents, cites sources, and admits when it doesn't know.
SERVICES:
- RAG development ingestion, chunking, embeddings, vector search
- AI chatbot development support bots, internal docs assistants
- Custom GPT assistants trained on your knowledge base
- OpenAI API integration GPT-4, function calling, streaming
- Deployment web widget, WhatsApp, Slack, or your app
EXPERTISE:
- LangChain, Rag Development, LangGraph, OpenAI API, Claude, Gemini, prompt engineering
- Custom Gpt, ChromaDB, embeddings, semantic search
- Python, FastAPI, Docker, Kubernetes, PostgreSQL, MongoDB
- HuggingFace, PyTorch, fine-tuning, multilingual NLP
YOU WILL GET:
- Working RAG chatbot on your documents
- Vector database configured
- FastAPI backend, deployment-ready
- Source citations on every answer
- Full source code + setup docs
- A plain ChatGPT wrapper invents answers. Proper RAG development searches.
AI Engineer building production LangChain and FastAPI systems.
Message me and I'll scope it honestly before you order.
Get to know Abdullah Khalil
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- FromPakistan
- Member sinceJul 2024
- Avg. response time1 hour
Languages
Urdu, English, French
Other AI Development Services I Offer
FAQ
What is RAG development and why do I need it?
RAG stands for Retrieval Augmented Generation. Instead of relying on what the model memorised during training, your AI chatbot searches your actual documents first, then answers using what it found. Proper RAG development is what stops a bot from confidently inventing your refund policy.
How is this different from a normal ChatGPT bot?
A plain ChatGPT wrapper has no access to your business data — it guesses. My RAG development approach connects the OpenAI API to a vector database holding your documents, so the bot retrieves real content before responding. Same underlying model, completely different reliability.
Do I need my own OpenAI API key?
For GPT-4 or GPT-4o, yes you connect your OpenAI API key and pay usage directly, usually a few dollars a month at small scale. You keep full control of your account and costs. If you'd rather have zero ongoing spend, I can set up an open-source model instead. Claude and Gemini are also supported.
Can you build a custom GPT for my specific business?
Yes. Custom GPT assistants are a core part of what I offer — trained on your knowledge base, tuned to your brand voice, with conversation starters and guardrails around what it will and won't discuss. Tell me your use case and I'll scope it.
Can I add or update documents later?
Yes. Silver and Gold include a script you run to add files. Platinum includes an admin panel so non-technical staff can upload without touching code.
Which technologies do you use?
LangChain and LangGraph for orchestration, the OpenAI API for generation, Pinecone, ChromaDB or FAISS for vector storage, and FastAPI for the backend. Everything containerised with Docker so deployment is straightforward.

