I will build a production ready rag ai agent


About this gig
Stop Building Chatbots. Deploy Agentic RAG.
Most RAG systems fail because they are "Naive." I build Production-Ready AI Agents designed for enterprise-grade accuracy and autonomous reasoning.
Reliability Engineering Standards:
- Semantic Chunking: I use semantic boundaries instead of fixed-length cuts to preserve context and data integrity.
- Hybrid Search (BM25 + Vector): Combining keyword precision with semantic depth to ensure the agent finds specific names, IDs, and acronyms.
- Source Attribution: Direct citations for every claimmandatory for legal/medical compliance and eliminating hallucinations.
- Token OpEx Forecasting: I provide a monthly cost breakdown upfront so you can manage your budget with zero surprises.
The Stack: GPT-4o/Claude 3.5, Pinecone/Weaviate, and LangChain/LlamaIndex.
The Result: A secure, dockerized agent that doesn't just "chat"it executes. From Slack integration to custom CRM workflows, I deliver ROI, not just code.
- Message me for a technical consultation before ordering!
Get to know Milan K
AI Automation and Full Stack SaaS Developer
- FromIndia
- Member sinceNov 2025
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
What is RAG and why do I need it?
RAG (Retrieval-Augmented Generation) is a technique that stores your specific documents as a searchable database. Instead of guessing, the AI fetches relevant passages from your data to answer questions accurately. It prevents hallucinations and is essential for business knowledge-base bots.
Will my company data be kept private and secure?
Yes. I will advise you on secure deployment practices. We can run vector databases on your private infrastructure, and if you have highly sensitive data, we can utilize open-source models (like LLaMA) that never send your data to external servers.
Do you host the chatbot for me?
I provide a fully hosted demo link for the Basic and Standard packages so you can test the bot. For your final production app, I deliver the code and deployment instructions so you have total ownership of your hosting and API keys.
What do you need from me to start?
I will need a brief summary of what you want the bot to do, your preferred tone (casual vs. professional), and the sample documents (PDFs, CSVs, or text) you want the bot to learn from!

