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I will create ai rag chatbot using python and vector databases
Saadan
About this gig
I build custom RAG (Retrieval-Augmented Generation) systems in Python. My Basic package sets up a simple RAG pipeline for 1 document (PDF, TXT, or DOCX), the Standard package delivers a complete RAG chatbot for up to 5 documents with a UI, and the Premium package provides a full custom RAG system with API and deployment for unlimited documents. Message me before ordering so I can suggest the best package for your needs.
Get to know Saadan
Saadan
- FromPakistan
- Member sinceJul 2025
Languages
English
I’m a Python developer, WordPress expert, and eLearning designer delivering fast, reliable, and scalable solutions. I build AI-powered web apps, automation bots, RAG workflows with n8n, and SCORM-compliant courses using Articulate Storyline & Lectora. I also develop custom WordPress sites, plugins, and API integrations, plus desktop apps in C++ (SFML, Qt). Clean code, quick delivery, and production-ready results—every time.
FAQ
What is RAG (Retrieval-Augmented Generation)?
RAG connects AI with your own documents so the chatbot answers using your data instead of generating random responses.
How many documents can I use with each package?
Basic supports 1 document, Standard supports up to 5 documents, and Premium supports unlimited documents.
What types of documents are supported?
PDFs, DOCX, TXT, CSV files, and even website or database content.
Which AI models do you use?
I use OpenAI GPT models, local LLMs, or any model you prefer, integrated via LangChain or LlamaIndex.
Can this chatbot be deployed online?
Yes, Standard and Premium packages can include deployment via Streamlit, Flask, or server/cloud setup.
