I will build a rag based ai chatbot using llms

I design and build Retrieval-Augmented Generation (RAG) systems and AI chatbots powered by large language models like GPT, Claude, and open-source alternatives via LangChain.

What you get:

• A chatbot that answers accurately from YOUR documents/data (not generic hallucinated answers)
• - Vector database setup (Pinecone, Chroma, FAISS, or similar)
• - Source citation so users can trust the answers
• - Clean integration into a website or API endpoint

Background: CS graduate (IIIT-Delhi) who has built a fully local RAG pipeline with domain classification and entity/relation extraction, plus other AI/ML production systems. I focus on retrieval quality, not just wiring an API call to an LLM.

Message me with your use case and data sources before ordering so I can recommend the right package.