I will build a custom RAG chatbot and AI application with Python

I will build a custom RAG chatbot or AI application using Python and modern large language models.

A RAG application connects an AI model with your documents or business knowledge. It allows users to ask questions and receive relevant answers grounded in the provided information.

I can build solutions for document question answering, company knowledge bases, customer support, educational content, research material, product documentation, and internal business information.

Your application can include document upload, intelligent text processing, semantic search, vector database integration, conversation history, source citations, and a FastAPI backend.

Depending on your selected package, I can integrate OpenAI, Gemini, Claude, or an open source language model. I can also work with vector databases such as Chroma, FAISS, Pinecone, or Qdrant.

My development process includes requirement analysis, system design, implementation, testing, and delivery documentation. The final solution will be tested using your approved sample documents and questions.

You will receive clean Python source code, setup instructions, and the features included in your selected package.

The price does not include paid model usage, external API charges, cloud hosting, domain registration, or paid database services. These costs are paid directly by the client when required.

Please contact me before ordering. Share your use case, document types, expected number of users, required AI model, and deployment requirements. I will review the scope and recommend the most suitable package.