Browse categories
Explore
Fiverr Pro
English
$
USD
I will a custom ai chatbot with rag and memory for your business
Ali raza
About this gig
Are you looking for a production-grade AI chatbot that actually works for your business not just a basic demo?
I specialize in building intelligent AI chatbots powered by RAG pipelines, LangGraph, and advanced memory systems. My chatbots don't just answer questions they retrieve accurate information from your data, remember conversations, and handle real-world usage.
What You Get:
Custom AI chatbot trained on your data or knowledge base
RAG pipeline with ChromaDB for accurate, source-based answers
Long-term conversation memory your bot remembers users
Smart query routing between RAG, web search, and LLM
FastAPI backend with clean, production-ready architecture
Optional: Streamlit UI, SSE streaming, deployment support
️Tech Stack:
LangGraph | FastAPI | ChromaDB | Groq LLMs | Gemini Embeddings | Streamlit | SQLite
Already Built:
I have already built and deployed a production-grade agentic chatbot with all these features. I don't start from zero you get proven architecture.
Perfect For:
Customer support automation
Internal knowledge base assistant
SaaS AI features
Document Q&A systems
AI-powered help desk
Message me before ordering to discuss your requirements.
Get to know Ali raza
Ali raza
Agentic AI Developer
- FromPakistan
- Member sinceMay 2026
Languages
Hindi, Urdu, English
I am an 18-year-old AI developer specializing in agentic AI, RAG systems, and LLM fine-tuning. I have built production-ready AI systems from scratch, including multimodal RAG pipelines and autonomous agents. I am focused on building practical AI solutions that solve real-world problems.
My Portfolio
FAQ
What data can the chatbot use?
The chatbot can be trained on PDFs, Word documents, text files, websites, or any custom knowledge base you provide. I handle the full data ingestion pipeline.
Will I own the source code?
Yes. You get complete source code, clean documentation, and full ownership upon project completion.
Can this be integrated into my website or app?
Yes. The FastAPI backend can be integrated into any website, web app, or SaaS platform via API calls.
Which LLM models do you use?
I primarily use Groq LLMs (Llama, Mixtral) for speed and cost efficiency, with Gemini Embeddings for semantic search. Other models can be used upon request.
Do you offer post-delivery support?
I offer up to 7 days of post-delivery support for bug fixes and minor adjustments. Extended support can be discussed separately.
