Custom AI Chatbot with RAG in 14 Days by Davoad EivazkhaniCustom AI Chatbot with RAG in 14 Days by Davoad Eivazkhani
Custom AI Chatbot with RAG in 14 DaysDavoad Eivazkhani
I'll build you a production-ready AI chatbot that actually understands your business data.
What you get: An intelligent chatbot powered by Retrieval-Augmented Generation (RAG) that answers questions from your documents, knowledge base, or database with high accuracy and zero hallucination.
How it works:
We kick off with a 30-min call to understand your data sources and use case
I set up the RAG pipeline: document ingestion, vector embeddings, and retrieval logic
I build the chat interface and integrate it with your existing system
You get 2 rounds of revisions based on real user testing
I deploy everything with Docker and hand over full documentation
Built with: Python, Django, LangChain, OpenAI/Claude APIs, PostgreSQL, and Docker.
Ideal for:
Companies drowning in internal docs that employees can't search
SaaS products that need smart customer support
Healthcare or legal teams that need accurate answers from large document sets
I've built AI monitoring systems for industrial equipment and healthcare platforms, so I know how to handle sensitive data and production-grade reliability.
FAQs

Starting at$1,500
Duration14 days
Tags
AI Chatbot
Django
LangChain
OpenAI
Python
RAG
Backend Engineer
Service provided by
Davoad Eivazkhani Ashburn, USA
1
Followers
Custom AI Chatbot with RAG in 14 DaysDavoad Eivazkhani
Starting at$1,500
Duration14 days
Tags
AI Chatbot
Django
LangChain
OpenAI
Python
RAG
Backend Engineer
I'll build you a production-ready AI chatbot that actually understands your business data.
What you get: An intelligent chatbot powered by Retrieval-Augmented Generation (RAG) that answers questions from your documents, knowledge base, or database with high accuracy and zero hallucination.
How it works:
We kick off with a 30-min call to understand your data sources and use case
I set up the RAG pipeline: document ingestion, vector embeddings, and retrieval logic
I build the chat interface and integrate it with your existing system
You get 2 rounds of revisions based on real user testing
I deploy everything with Docker and hand over full documentation
Built with: Python, Django, LangChain, OpenAI/Claude APIs, PostgreSQL, and Docker.
Ideal for:
Companies drowning in internal docs that employees can't search
SaaS products that need smart customer support
Healthcare or legal teams that need accurate answers from large document sets
I've built AI monitoring systems for industrial equipment and healthcare platforms, so I know how to handle sensitive data and production-grade reliability.
FAQs

$1,500