Why Your RAG Chatbot Gives Wrong Answers (and How to Fix It)

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AI Fusion Summary

RAG chatbots often provide incorrect answers due to retrieval and rule failures rather than model issues. Fixing these requires tuning the retrieval-augmented generation process. Simultaneously, OAuth integrations can fail during network hiccups, leading to synchronized retry storms and 429 Too Many Requests errors from providers. Implementing NoeFabris/opencode-antigravity-auth into OpenCode streamlines Google OAuth flows and token refresh, though managing authentication stability remains critical to prevent service downtime and quota exhaustion during unexpected traffic spikes.
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