I will audit and improve your rag system for accuracy and hallucinations

Is your RAG system giving inaccurate answers, retrieving irrelevant information, or generating AI hallucinations?

I will audit and optimize your Retrieval-Augmented Generation (RAG) system to identify the root causes of poor retrieval, inaccurate responses, and hallucinations.

Ill analyze your RAG pipeline and provide practical improvements to make your AI application more reliable and accurate.

What I can help with:

1. RAG pipeline audit
2. Retrieval quality analysis
3. Hallucination analysis
4. Chunking strategy review
5. Embedding & vector search evaluation
6. Prompt and context analysis
7. Retrieval optimization
8. RAG evaluation & testing
9. LLM response quality analysis
10. Actionable optimization recommendations

What youll receive:

• Detailed analysis of your current RAG system
• Identified accuracy and retrieval issues
• Hallucination/root-cause analysis
• Recommended improvements
• Testing and evaluation results
• Optimization guidance based on your system

Whether you're building a chatbot, knowledge-base assistant, document Q&A system,