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$
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I will build ai agents and chatbot by using python
Tabish Malik
About this gig
Please contact me before placing an order for a custom or advanced project.
Need a custom AI chatbot built with Python, LangChain, OpenAI, and RAG?
I develop Python-based AI chatbots that can answer questions from your own data, documents, PDFs, FAQs, or knowledge base. These chatbot solutions are designed to retrieve relevant information first and then generate more accurate, source-aware responses.
This gig is ideal for:
- RAG chatbots
- PDF and document Q&A bots
- knowledge base assistants
- website support chatbots
- internal business assistants
- custom AI chatbot workflows
What I can build:
- Python AI chatbot
- LangChain-based chatbot workflow
- OpenAI integration
- RAG pipeline with source-based answers
- chatbot using PDFs, text files, or business content
- clean and practical chatbot interface
My focus is to build chatbot systems that are useful, accurate, and tailored to your real use case instead of generic AI demos.
If you need a Python AI chatbot for your website, documents, or knowledge base, send me your idea and data source before ordering.
Get to know Tabish Malik
Tabish Malik
AI Agents and Chatbot Developer
- FromPakistan
- Member sinceJun 2024
- Avg. response time1 hour
- Last delivery1 year
Languages
English, Urdu
I help businesses build custom AI chatbots that do real work. I create website chatbots, PDF Q&A bots, and RAG-based assistants that can understand data, retrieve relevant information, and generate accurate responses. I work with Python, Streamlit, OpenAI APIs, embeddings, and vector search to build practical chatbot solutions for customer support, business websites, and knowledge base systems.
My Portfolio
FAQ
What kind of chatbot can you build?
I can build Python AI chatbots, RAG chatbots, PDF Q&A bots, document chatbots, and custom knowledge base assistants.
Can the chatbot answer from my own files or data?
Yes. I can build the chatbot using your PDFs, text content, FAQs, website content, or other knowledge sources.
Do you use Python and LangChain?
Yes. This gig is focused on chatbot development using Python, LangChain, OpenAI, and RAG workflows.
What is RAG in this gig?
RAG stands for Retrieval-Augmented Generation. It helps the chatbot retrieve relevant information from your data before generating the answer, which makes responses more accurate and useful.
. Can the chatbot show source-based answers?
Yes. I can build source-aware chatbot responses depending on the package and project scope.
Can you build a PDF chatbot?
Yes. I can create a chatbot that reads PDFs or documents and answers questions from that content.
Can you deploy the chatbot too?
Yes. Deployment support can be included in the extra Gig package or discussed before the order.
. What do you need before starting?
I need your project goal, your data source, preferred chatbot type, and any extra features or UI requirements.
