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I will develop a custom gpt chatbot with rag for your documents using python langchain
Alap Gohar
About this gig
Looking for a custom GPT chatbot or RAG system built with Python for your business?
I specialize in GPT chatbot development, RAG pipelines, and document chatbot systems using Python and LangChain. Whether you need a GPT chatbot for customer support, a RAG document chatbot trained on your own data, or a full chatbot Python backend, I build solutions that work in production.
What I can build:
- GPT chatbot with RAG for any document or knowledge base
- Document chatbot trained on PDFs, websites, or databases
- Chatbot Python backend with LangChain and vector search
- RAG pipeline with OpenAI or open-source LLMs
- GPT chatbot API for integration into any platform
Why work with me:
Unlike most GPT chatbot developers, I build RAG document chatbot systems backed by real ML engineering. Your chatbot Python solution will be clean, documented, and production-ready.
Message me to discuss your GPT chatbot or RAG project.
Get to know Alap Gohar
Alap Gohar
AI Engineer, ML Systems and Automation
- FromPakistan
- Member sinceJun 2026
- Avg. response time1 hour
Languages
English, Arabic, German, Spanish
I build AI automations and workflows that help businesses save time and scale. Using n8n, large language models, and custom APIs, I design agents that go beyond simple integrations and actually think.
What sets me apart is I can also build the AI behind the workflow — trained ML models for forecasting, sentiment analysis, and churn prediction, wired directly into automated pipelines.
Solutions are clean, documented, and built to last, at a price that reflects my commitment to building a strong track record. Let's discuss your project.
Other AI Development Services I Offer
FAQ
Can the document chatbot be integrated into my website or app?
Yes. Every delivery includes a clean API endpoint so your GPT chatbot can be embedded into any website, mobile app, or platform. Message me with your stack and I will confirm compatibility before you order.
Will the GPT chatbot remember previous conversations?
Yes. I implement conversation memory in every chatbot Python build so your RAG chatbot maintains context across the conversation, not just single-turn responses.
Which LLM do you use for the GPT chatbot?
By default I use OpenAI GPT models via LangChain. I can also build your chatbot Python backend using Anthropic Claude, open-source models like Llama, or any LLM API you prefer.
What data sources can the document chatbot use?
I can build a document chatbot from PDFs, Word files, websites, Notion pages, Google Docs, or any structured database. If you have data in a different format message me and I will confirm if it is supported.
