A stale citation in your RAG chatbot?
Trace one reproducible old-answer or wrong-citation failure to its evidence. Diagnosis only; code fixes are quoted separately.
What you receive
Your document changed, but your RAG chatbot still answers from the old version or cites a passage that does not support its claim. I investigate one reproducible failure in your existing system. You receive a record of the reproduced result, an evidence trace across source version, retrieval, cache and answer where those records are available, a root-cause note where the evidence supports one, a repeatable regression check, and a short handoff.
Scope: one chatbot, one document set, up to five agreed questions, and one citation or freshness failure type. This USD 149 price covers diagnosis. Code changes, deployment and testing after a patch require a separate scope and quote.
Before payment, send a redacted example and short stack description through the intake form. I will confirm fit and the exact deliverables before allowing checkout. Do not send passwords, API keys, personal data, payment data, or a production database export. This is not a guarantee to remove every hallucination or certify regulated advice. The public demo is my own synthetic example, not client work.
Synthetic example: 30 days to 45 days
This illustration shows a policy document changing from 30 to 45 days. A naive answer cache still returns the old 30-day answer and citation; a source-version-aware cache switches to the 45-day text. The demonstration uses synthetic documents and no LLM. It shows a reproducible evidence trail, not a client outcome or a production benchmark.
Read the synthetic sample diagnosis report to see the handoff format. It is an illustrative example, not a client result.
Request a scope review before payment
Tell me about one reproducible wrong citation or outdated answer. I will review your redacted example and confirm whether this one-failure diagnosis fits before checkout. Please do not submit credentials, API keys, personal data, payment data, or a production database export.