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English
$
USD
I will build ai chatbot using openai, langchain and python
Gaurav Sonawane
About this gig
Are you looking to build a powerful AI chatbot for your business, website, or application?
I will develop a custom AI chatbot powered by Large Language Models (LLMs) such as OpenAI GPT with Retrieval-Augmented Generation (RAG). This allows the chatbot to provide intelligent answers from your documents, databases, or knowledge base.
This solution is perfect for:
Customer support automation
AI assistants for websites or SaaS products
Document-based chatbots (PDF, knowledge base)
Internal company knowledge assistants
What you will get:
AI chatbot powered by GPT / OpenAI
RAG pipeline with LangChain for accurate responses
Integration with your application or website
Clean and scalable Python backend (FastAPI)
Optional database or vector database integration
Technologies I use:
Python, FastAPI, OpenAI API, LangChain, PyTorch, Vector Databases, PostgreSQL.
Why choose me?
Experience building real AI applications
Clean, scalable backend architecture
Clear communication and reliable delivery
Please message me before placing an order so we can discuss your requirements and build the best AI solution for your project.
Get to know Gaurav Sonawane
Gaurav Sonawane
Python Backend Developer GenAI Engineer AI Chatbots
- FromIndia
- Member sinceApr 2022
- Last delivery2 weeks
Languages
Hindi, English
🚀 Python Backend Developer | GenAI Engineer
I help businesses build scalable FastAPI backends, REST APIs, AI chatbots, and RAG-powered applications.
✅ FastAPI Backend Development
✅ Custom REST APIs
✅ OpenAI & LangChain Integration
✅ AI Chatbots & Virtual Assistants
✅ PDF & Document Q&A Systems
✅ RAG Applications & Knowledge Bases
My expertise includes Python, FastAPI, OpenAI API, LangChain, PostgreSQL, SQLAlchemy, and Vector Databases.
I focus on clean code, scalable architecture, and production-ready solutions that deliver real business value.
My Portfolio
FAQ
What is an AI chatbot?
An AI chatbot uses Large Language Models such as GPT to understand user questions and generate intelligent responses automatically.
Can the chatbot answer questions from documents?
Yes. I can build a RAG-based chatbot that can answer questions from PDFs, documents, databases, or knowledge bases.
Can the chatbot be integrated into my website?
Yes, the chatbot can be integrated into websites or applications using APIs.
What technologies do you use?
I use Python, FastAPI, OpenAI API, LangChain, and vector databases to build scalable AI chatbots.
