I will build rag chatbot using langchain, openai and chromadb


About this gig
Build a Professional RAG Chatbot with LangChain, OpenAI & ChromaDB
Looking for an AI chatbot that can answer questions from your PDFs, documents, websites, or business knowledge base? You're in the right place!
I build intelligent Retrieval-Augmented Generation (RAG) chatbots using LangChain, OpenAI GPT, Gemini, ChromaDB, FastAPI, and Python. My solutions provide accurate, context-aware responses by retrieving information from your own data instead of relying only on the AI model's knowledge.
What I Can Build?
RAG Chatbots
PDF & Document Chatbots
Knowledge Base AI Assistants
Website AI Chatbots
FastAPI Backend APIs
Vector Database Integration (ChromaDB)
Multi-Document Search
Semantic Search & Embeddings
Source Code Included
Technologies
LangChain
OpenAI GPT
Gemini
ChromaDB
Python
FastAPI
React & Next.js
Why Choose Me?
Production-ready architecture
Clean, scalable code
Fast communication
On-time delivery
Complete source code
Post-delivery support
Please contact me before placing an order so we can discuss your project requirements and choose the best solution for your business.
Get to know Hamza
Data Scientist FullStack Developer AI Engineer
- FromPakistan
- Member sinceJun 2022
- Avg. response time1 hour
Languages
Urdu, English
My Portfolio
FAQ
What is a RAG chatbot?
A RAG (Retrieval-Augmented Generation) chatbot retrieves information from your own documents, PDFs, websites, or databases before generating responses, making answers more accurate and relevant.
Which AI models do you support?
I work with OpenAI GPT, Gemini, Claude, and other modern LLMs depending on your project requirements.
Can the chatbot answer questions from PDFs or documents?
Yes. I can build chatbots that search and answer questions from PDFs, Word documents, websites, and other knowledge sources.
