I will build a rag ai system for your business queries

Need an AI system that accurately answers your customers' or team's queries using your own business data?

I build custom RAG (Retrieval-Augmented Generation) systems that connect large language models to your actual documents so answers are accurate and grounded in your content, not generic AI guesses.

I recently built a RAG-based Q&A system for a university client, handling admission queries for new and prospective students using mixed institutional data sources.

What I offer:

Custom RAG pipeline design and development

Vector database integration (Pinecone, Qdrant)

LLM integration OpenAI, Claude, Gemini, DeepSeek, or others

Document ingestion from mixed sources (PDFs, websites, databases)

LangChain / LlamaIndex-based architecture

Integration into your existing app or system

Tech Stack: Python, LangChain, LlamaIndex, Pinecone, Qdrant, Node.js, NestJS, MongoDB, PostgreSQL

Basic deployment is included in Enterprise; full production deployment is available as an add-on.

Message me before ordering so I can recommend the right package for your project.