Browse categories
Explore
Fiverr Pro
English
$
USD
I will build an ai chatbot using rag and python
Rayyan Ali
About this gig
Need a custom AI chatbot that can answer questions from your documents, website, or business data?
I will build an AI chatbot using RAG (Retrieval-Augmented Generation), LLMs, embeddings, and vector databases to provide relevant, context-aware responses.
I can build chatbots for:
PDF and document-based Q&A
Business FAQs and knowledge bases
Customer support
Academic/research content
Websites and internal company data
Custom AI assistants
Depending on your requirements, I can work with Python, Pinecone, FastAPI, Flask, embeddings, vector search, and LLM APIs.
What I can provide:
Custom RAG pipeline
Document processing and retrieval
Vector database integration
Context-aware AI responses
Conversational chatbot interface
API/backend integration
Source code
I have hands-on experience developing multilingual RAG chatbots and an AI-powered financial intelligence platform using LLMs, RAG, and vector search.
Have a custom AI project? Message me before ordering so we can discuss your requirements and choose the right solution.
Get to know Rayyan Ali
Rayyan Ali
AI Engineer, ML, Computer Vision and AI solutions
- FromPakistan
- Member sinceSep 2026
Languages
Urdu, English, Arabic
I’m an AI Engineer with hands-on experience building AI and machine learning projects. I’ve worked on chatbots, RAG systems, computer vision, object detection and Python automation. I mainly work with Python, PyTorch, TensorFlow and OpenCV. I enjoy turning ideas into practical AI solutions and I’m always open to working on new and interesting projects. My goal is to understand what you need and build something that actually works.
FAQ
Can you build a chatbot from my PDF or documents?
Yes. I can build a RAG-based chatbot that processes your documents and retrieves relevant information to generate context-aware answers.
What type of documents can the chatbot use?
Depending on the project, the chatbot can work with sources such as PDFs, text documents, FAQs, knowledge bases, and other structured or unstructured data.
Can you use Pinecone for the vector database?
Yes. I have experience working with Pinecone and vector search for RAG applications. The database and architecture can be selected according to your project requirements.
Can you integrate an LLM into my existing chatbot or application?
Yes. I can help integrate an LLM into an existing application and connect it with a RAG pipeline, knowledge base, or API depending on your requirements.
Can you build a multilingual AI chatbot?
Yes. I have experience developing multilingual RAG chatbot systems. The supported languages and implementation will depend on your data and project requirements.
Can you integrate the chatbot into a website?
Yes. I can develop the chatbot backend/API and help integrate it into a web application depending on the required functionality.
