I will evaluate your rag or llm for hallucinations and accuracy

I will evaluate your RAG chatbot or LLM for hallucinations, answer accuracy, grounding, citation quality, and response relevance.

If your AI assistant gives incorrect answers, invents information, or fails to use your knowledge base properly, I will identify the issues before they affect your users. This AI QA service uses realistic user queries, edge cases, unsupported questions, conflicting context, and repeated prompts.

What I evaluate:

• RAG and LLM answer accuracy
• Hallucinations and unsupported claims
• Grounding in source documents
• Citation relevance and source use
• Safe I dont know responses
• Relevance, consistency, and edge-case behavior

What you receive:

• Structured LLM or RAG evaluation report
• Tested questions, responses, and expected behavior
• Clear pass/fail or severity-based findings
• Evidence for each important issue
• Practical recommendations for prompts, retrieval, documents, or response rules

Ideal for RAG chatbots, AI assistants, customer-support bots, internal knowledge bases, and LLM applications.

Please share safe test access, your use case, source documents where applicable, and sample expected answers. Please do Message me before ordering. Thanks!!