I will audit and improve your rag chatbot

Is your RAG chatbot giving irrelevant answers, missing sources, or failing on real user questions? I will inspect the retrieval and answer pipeline, identify likely failure points, and provide practical, prioritized improvements.

I can review chunking, embeddings, metadata filters, vector search, reranking, prompt construction, citation behavior, latency, and evaluation coverage. I will use your examples and available logs or test data to trace issues and explain what to fix.

Basic covers one RAG flow and a concise findings list. Standard adds a broader review of retrieval, prompts, citations, and representative test cases. Premium adds deeper analysis and targeted fixes or validation notes within the agreed scope. New features, full rebuilds, and large dataset labeling require a custom offer.

To start, share a safe test endpoint or relevant code, sample questions and expected answers, a few failures, architecture details, and sanitized logs. Never share passwords, API keys, or confidential customer data. Message me first if you need compliance certification or a full production rebuild.