I will build an ai chatbot using python langchain and openai llm


About this gig
Want to build a chatbot that truly understands your data?
Ill create a custom AI chatbot using Python, LangChain, and OpenAI LLMs that retrieves context-aware answers directly from your files and databases.
What youll get:
-Retrieval-Augmented Generation (RAG) pipeline for document-based chat
-LLM integration (OpenAI GPT-4, Gemini, or Llama 2)
-Vector database (FAISS / Chroma / Pinecone) for semantic search
-Custom knowledge-base setup (PDF, DOCX, TXT)
-API endpoints built with FastAPI or Django
-Optional deployment on AWS or GCP
Whether you need a support assistant, legal bot, or internal knowledge agent, Ill deliver a scalable and secure solution with source code and documentation.
Lets bring your AI idea to life
Get to know Rehmat Qadeer
Senior Python Full Stack Developer and AI Automation Expert 8 Years
- FromPakistan
- Member sinceSep 2019
- Last delivery3 years
Languages
English, Urdu, French
My Portfolio
FAQ
What is a RAG chatbot?
A Retrieval-Augmented Generation bot combines a vector search engine with an LLM to give accurate, contextual answers based on your documents.
Which AI models can you use?
OpenAI GPT-4 and 3.5, Google Gemini, Meta Llama 2, and Anthropic Claude.
Can you train the chatbot on my own data?
Yes! Just upload your PDFs or text files and I’ll index them for context-based responses.
Can this be integrated into my website or app?
Absolutely. I’ll deliver a REST API you can connect to React, Next.js, or mobile apps.
Do you provide source code and documentation?
Yes every package comes with clean, well-commented source code and setup instructions.
Can you add authentication or multi-language support?
Yes, available in Standard and Premium packages or as a Gig extra.

