I will build a custom ai chatbot with rag langchain and python


About this gig
Looking for a custom AI chatbot that can answer questions using your own documents or business data?
I will build a professional Generative AI chatbot using Python, RAG (Retrieval-Augmented Generation), LangChain, and modern LLM technologies.
I can create AI assistants for PDFs, documents, knowledge bases, websites, internal business information, FAQs, and other custom data sources.
What I can provide:
Custom RAG chatbot development
Python and LangChain implementation
Document/PDF knowledge-base integration
Vector database integration
LLM/API integration
Conversational AI workflows
Integration with an existing web application (Standard/Premium)
Clean source code
Custom functionality based on your requirements
Every project is different, so the final architecture and integrations will depend on your requirements and selected package.
Please message me before ordering for complex or custom projects so we can confirm the scope, integrations, timeline, and best package.
Get to know Hexa R
Generative AI Engineer
- FromIndia
- Member sinceJul 2026
Languages
Tamil, English, German
FAQ
What information do you need to start?
Please provide your project requirements, intended chatbot use case, sample documents or data sources, preferred AI model if any, and details of any existing application that needs integration.
Can you build a chatbot using my PDFs or documents?
Yes. I can build a RAG-based chatbot that retrieves relevant information from your documents and uses it to generate contextual answers.
Can you integrate the chatbot into my existing application?
Yes. Integration with an existing application is available in the Standard and Premium packages or through a custom offer depending on complexity.
Will I receive the source code?
Yes. Source code is included according to the package selected.
Are API and hosting costs included?
No. Third-party API usage, cloud hosting, database subscriptions and other external service charges are normally paid by the client unless otherwise agreed.

