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$
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I will build a custom ai rag chatbot for your business documents
Bhaskar Anjappa
About this gig
Turn your business documents, PDFs, or knowledge base into a smart AI chatbot that actually answers questions accurately no more manual searching or generic FAQ bots that miss the point.
I build custom RAG (Retrieval-Augmented Generation) chatbots using LangChain and modern LLMs like GPT-4 and Claude. Your chatbot reads your actual data product docs, manuals, internal wikis, whatever you need and gives precise, context-aware answers instead of generic or hallucinated responses.
What you get:
1.Custom chatbot trained on YOUR documents/data.
2.Accurate retrieval using vector search (Pinecone, Milvus, or similar).
3.Clean integration into your app, website, or workflow.
4.Source code + documentation included
I've built and deployed production RAG systems achieving 86%+ retrieval accuracy on live projects, with hybrid search and reranking to solve common chatbot failures like missed context or wrong answers.
Whether you need a simple document Q&A bot or a full production-grade system, I'll scope it right and build something that actually works not a demo that breaks in real use.
Message me before ordering if your project has custom requirements happy to scope it properly first.
Get to know Bhaskar Anjappa
Bhaskar Anjappa
Generative AI Engineer, RAG, AI Automation Specialist
- FromIndia
- Member sinceJul 2026
Languages
English
"I build production-ready RAG chatbots and AI automation systems using LangChain, LangGraph, and modern LLMs. My work includes deploying hybrid-search RAG pipelines with vector databases (Milvus, Pinecone) achieving 86%+ accuracy on live production systems. I turn your documents, workflows, or business processes into intelligent AI systems that actually work — not demos."
FAQ
What's the difference between RAG and regular chatbot?
Regular chatbots (like rule-based FAQ bots) can only answer pre-scripted questions. My RAG chatbots actually read and understand your real documents/data, so they can answer questions accurately even if you never explicitly wrote that answer anywhere — including follow-up and nuanced questions.
What kind of data can I use? Do I need to prepare anything?
PDFs, Word docs, website content, CSVs, or internal wikis all work. Just send me your source material — I handle chunking, embedding, and setup. No technical prep needed on your end.
Will this work with my existing website or app?
Yes. I deliver via API, so it integrates into your existing website, app, or internal tool. If you need help with hosting/deployment specifically, check my "Deployment & Hosting" extra.
My project is bigger than what's in your packages — can you customize?
Absolutely. Message me before ordering with your requirements (data size, use case, integrations needed) and I'll scope a custom package or point you to the right tier. Better to get scope right upfront than mid-project.
