I will build a rag based ai chatbot using llms for your business

S
sushant_sehgal
S
sushant_sehgal
Sushant Sehgal

About this gig

I build RAG (Retrieval-Augmented Generation) chatbots that give accurate, source-grounded answers from your documents, website, or knowledge base not generic AI hallucinations.

What I use:

  • Hybrid retrieval (BM25 + vector search) for accurate document matching
  • Reranking to surface the most relevant results
  • LLM integration (OpenAI, Groq) for natural, fast responses
  • FastAPI backend with real-time streaming
  • Cloud deployment with CI/CD pipelines

I've built and deployed production RAG systems handling real documents and real users not just tutorials. Whether you need a customer support bot, an internal knowledge assistant, or a document Q&A tool, I'll build it to actually work.

What you get:

  • A working chatbot connected to your data
  • Clean, documented code
  • Deployment support if needed
  • Clear communication throughout

Message me before ordering if you have a custom use case happy to scope it out and recommend the right package for you.

Get to know Sushant Sehgal

Sushant Sehgal

AIML Developer

  • FromIndia
  • Member sinceAug 2026
  • Languages

    Hindi, Punjabi, English
AI/ML Engineer specializing in RAG systems, LLM integration, and NLP — building AI applications from prototype to production. I work with hybrid retrieval + reranking, LLM APIs (OpenAI, Groq), FastAPI backends, and cloud deployment (GCP, Docker, CI/CD). Recent builds: a production RAG chatbot with full CI/CD deployment, a multi-agent healthcare assistant, and NLP systems for intent classification and voice AI. I ship working code, not demos — clear communication, honest timelines. Let's build something that runs.