I will build a rag knowledge base chatbot with cited answers

I will build a practical retrieval-augmented generation chatbot for document search, source-aware answers, structured extraction, classification, or summarization.

The solution can connect an LLM API to your approved documents, database, website export, or business workflow. I focus on predictable inputs, useful citations, structured outputs, error handling, and a small evaluation set instead of promising perfect AI results.

I begin by defining representative questions, source formats, and the exact answer format. Each package covers one focused use case within its listed data-source and integration limits.

Model usage fees, data labeling, large-scale crawling, guaranteed factual accuracy, and a polished customer-facing frontend are not included unless separately agreed. I do not build deceptive impersonation or legal, medical, or financial decision systems.

Please share sample data and expected answers before ordering if the source set is complex.