Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a custom ai chatbot with rag, langchain and fastapi
Ashay T
About this gig
Do you need an AI chatbot that can answer questions accurately using your documents, website content or business knowledge base?
I will build a custom AI chatbot or RAG application using Python, FastAPI, LangChain, LangGraph and modern large language models. The solution can process your PDFs, documents or structured business data and provide relevant, context-aware answers.
I can develop:
PDF and document chatbots
Website knowledge-base assistants
Customer support chatbots
Internal company AI assistants
RAG applications with vector databases
Multi-agent AI workflows
FastAPI chatbot backends
React-based chat interfaces
Authentication and conversation history
Custom API and database integrations
My solutions can use OpenAI, Groq, Gemini or another suitable LLM based on your requirements. I can integrate ChromaDB, PostgreSQL, MongoDB or another supported database.
Why work with me?
Clean and maintainable code
Custom solutions instead of copied templates
Clear communication throughout development
Secure API and environment-variable handling
Proper error handling and documentation
Deployment assistance when included in the package
Please contact me before ordering so we can discuss you
Get to know Ashay T
Ashay T
AI Engineer, Python Backend Developer, Computer Vision Engineer
- FromIndia
- Member sinceDec 2024
- Avg. response time1 hour
Languages
Hindi, English
Hi, I'm Ashay, an AI Engineer and Python Backend Developer passionate about building intelligent, production-ready software. I specialize in AI chatbots, RAG applications, multi-agent systems, FastAPI backends, REST APIs, computer vision, and workflow automation. My tech stack includes Python, FastAPI, LangChain, LangGraph, OpenCV, PyTorch, React, PostgreSQL, MongoDB, and Docker. I deliver clean, scalable, and maintainable solutions that solve real business problems with a strong focus on quality, performance, and client satisfaction.
FAQ
What is a RAG chatbot?
A RAG chatbot retrieves relevant information from your documents or knowledge base before generating an answer. This helps it provide responses based on your business data instead of relying only on the general knowledge of the AI model.
Which file types can the chatbot process?
The chatbot can work with formats such as PDF, TXT, CSV and structured database content. Support for websites, DOCX files or other data sources can be discussed before ordering.
Can you integrate the chatbot into my website?
Yes. I can build a responsive React chat interface or provide a FastAPI endpoint that your existing website or application can call.
Which AI models can you use?
I can integrate OpenAI, Groq, Gemini or another suitable model depending on your budget, performance requirements and available API access.
Will I receive the source code?
Yes. The source code and setup instructions are included. API keys and third-party usage charges must be provided and managed by the buyer.
Can you deploy the chatbot?
Yes. Deployment assistance can be included for platforms such as Vercel, Render or another compatible hosting provider. Hosting and third-party service fees are not included in the gig price.
Will the chatbot always provide correct answers?
No AI system can guarantee perfect accuracy. I use retrieval, prompting and source-grounding techniques to improve reliability, but results also depend on the quality and completeness of the supplied data.
