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I will build a custom rag chatbot or ai saas app
Zaheer Akbar
About this gig
Need a custom RAG AI chatbot that can understand your business data and answer questions accurately?
I will build a custom RAG chatbot or AI SaaS application that can search and retrieve information from your documents, website, knowledge base, or database and use it to generate relevant AI responses.
What I can build
- RAG AI chatbots for websites and SaaS platforms
- PDF, DOCX, CSV and knowledge-base chatbots
- AI assistants trained on your business content
- Website and internal knowledge assistants
- Custom AI search and Q&A systems
- Multi-user AI SaaS applications
- API integrations and custom dashboards
Technology
Next.js, React, Node.js, Supabase, PostgreSQL, OpenAI, Claude, LangChain, vector databases and modern AI APIs.
I focus on building reliable, scalable systems with clean UI, secure data handling, and a structure that can grow with your product.
Whether you need an AI customer support bot, document chatbot, internal knowledge assistant, or a complete RAG SaaS MVP, I can build the solution around your specific requirements.
Send me your requirements before ordering, and I'Il recommend the right architecture and implementation approach for your project.
Get to know Zaheer Akbar
Zaheer Akbar
SaaS AI Full Stack Developer
- FromPakistan
- Member sinceAug 2020
- Last delivery11 months
Languages
English, Urdu
Senior SaaS Architect and Full Stack Developer with 8+ years of experience building scalable SaaS platforms, AI applications, and business software.
I help startups and businesses turn ideas into production-ready products using Next.js, React, Node.js, AI, LLMs, RAG, APIs, databases, and automation.
I build SaaS MVPs, AI chatbots, dashboards, CRMs, integrations, and full-stack web apps with clean architecture, reliable development, and scalability.
My Portfolio
FAQ
What is a RAG AI chatbot?
A RAG chatbot connects an AI model to your own data, such as documents, website content, knowledge bases, or databases. It retrieves relevant information before generating an answer, making responses more useful and grounded in your business data.
What data sources can you connect to the chatbot?
I can work with PDFs, DOCX files, CSVs, websites, FAQs, knowledge bases, databases, APIs, and other structured or unstructured data sources. Contact me if you have a specific integration requirement.
Which AI models and technologies can you use?
Depending on your requirements, I can work with OpenAI, Claude, Gemini, LangChain, Next.js, Node.js, Supabase, PostgreSQL, vector databases, and other AI tools. I will recommend the stack based on your use case rather than forcing one technology.
Can you integrate the RAG chatbot into my existing website or SaaS?
Yes. I can integrate the chatbot into an existing website, web application, SaaS platform, or internal system. I can also build a standalone AI application with its own frontend, backend, authentication, and database.
Can you build a complete RAG SaaS MVP, not just a chatbot?
Yes. I can build a complete AI SaaS MVP with authentication, user dashboards, document uploads, RAG pipelines, AI chat, conversation history, subscriptions, APIs, admin features, and third-party integrations based on your requirements.
