I will create custom ai chatbot, rag, calling agent, langchain


About this gig
Custom AI Chatbot & RAG Development
Want an AI chatbot that can actually understand your business, documents, or knowledge base?
I will build a custom AI chatbot or RAG (Retrieval-Augmented Generation) system tailored to your specific requirements. Your chatbot can use your own documents and data to provide relevant, context-aware answers instead of relying only on general AI knowledge.
What I Can Build:
- Custom AI chatbots
- RAG-based document chatbots
- PDF & document Q&A systems
- Website AI chatbots
- Business knowledge assistants
- LLM & API integrations
- ️ Vector database & knowledge-base systems
- ️ Custom AI workflows
Technologies I Can Work With:
- OpenAI / GPT
- Google Gemini
- LangChain
- LlamaIndex
- Vector databases
- Python
- APIs & third-party integrations
Why Choose Me?
- Custom solution based on your requirements
- Clean and scalable implementation
- Your own documents/knowledge base
- Context-aware AI responses
- Testing and optimization
- Clear communication throughout the project
Whether you need a simple document chatbot, website assistant, or advanced RAG-powered knowledge system.
Have a custom requirement? Contact me before placing an order so we can discuss !!
Get to know Ebtaysaam Autom
Automation Specialist
- FromPakistan
- Member sinceAug 2026
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
What is a RAG chatbot?
RAG (Retrieval-Augmented Generation) allows an AI chatbot to retrieve relevant information from your documents or knowledge base before generating an answer.
Can you build a chatbot using my PDFs or documents?
Yes. I can create a chatbot that uses your provided PDFs, documents, or other supported data sources as its knowledge base.
Can you integrate the chatbot into my website?
Yes. Website chatbot integration is available depending on the package and your requirements.
Which AI models do you use?
I can work with models such as OpenAI GPT and Google Gemini, depending on your project requirements.
Can you connect the chatbot to a database?
Yes. I can integrate suitable databases and vector databases for storing and retrieving your knowledge-base information.
Can the chatbot answer questions from multiple documents?
Yes. The chatbot can be configured to retrieve information from multiple documents and knowledge sources.

