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I will build an ai chatbot with rag, langchain and openai
Hafiz Muhammad
About this gig
Want an AI chatbot that can actually understand your documents, website, or business knowledge?
Im a Full-Stack Developer specializing in AI-powered applications, and I can build custom AI chatbots using RAG (Retrieval-Augmented Generation), LangChain, OpenAI, vector databases, and modern LLM technologies.
I can build:
- RAG AI Chatbots
- Chat with PDF / Documents
- Business Knowledge Base Assistants
- Customer Support AI Chatbots
- Website Knowledge Chatbots
- Internal AI Assistants
- Document Q&A Systems
- AI-Powered Search
- Custom LLM Applications
Your chatbot can retrieve relevant information from your own data and generate contextual answers instead of relying only on the model's general knowledge.
I can handle the complete solution including document processing, embeddings, vector search, RAG pipelines, backend APIs, chatbot UI, authentication, database integration, and deployment.
Technologies can include LangChain, OpenAI, Gemini, Python, FastAPI, PostgreSQL/pgvector, ChromaDB, and other modern AI tools depending on your project.
Have documents, a knowledge base, or an AI chatbot idea? Message me before ordering and let's discuss your requirements.
Get to know Hafiz Muhammad
Hafiz Muhammad
Full Stack Web Developer I Mobile App Developer I AI Integration I Extensions
- FromPakistan
- Member sinceOct 2023
- Avg. response time1 hour
- Last delivery9 months
Languages
English
Hey, I’m Hafiz Muhammad! I’m a Full-Stack Developer with 5+ years of experience building modern, scalable web and mobile applications.
I specialize in MERN (MongoDB, Express.js, React, Node.js) and Next.js, delivering responsive frontends, robust backends, APIs, third-party integrations, and complete web solutions.
I also build custom Chrome extensions and AI-powered features to automate workflows and create smarter user experiences.
Have an idea? Let’s build it together!
My Portfolio
FAQ
Can you build a chatbot that answers questions from my PDFs?
Yes. I can build a RAG chatbot that processes your PDFs and retrieves relevant information to answer user questions.
What is RAG?
RAG (Retrieval-Augmented Generation) allows an AI application to retrieve relevant information from your own data before generating an answer.
Can you build a chatbot for company documents?
Yes. I can build knowledge-base assistants for company documents, SOPs, manuals, policies, product documentation, and other business data.
Can the chatbot provide sources or citations?
Yes. Source references can be included so users can see where the chatbot retrieved the information from.
Can you integrate the chatbot into my existing website?
Yes. I can integrate the chatbot into existing React, Next.js, or other web applications through APIs or a custom frontend.
Which AI models can you use?
Depending on the project, I can work with OpenAI, Gemini, and other compatible LLM providers.
Can you use my existing vector database?
Yes. If you already have a vector database or RAG pipeline, I can work with your existing infrastructure and improve or extend it.
