🤖 Agentic assistant to help optimize your RAG pipeline

[CharnaParkey]

We're exploring the idea of an agentic app-building assistant that goes beyond "chat with docs."

The vision:
An agent that analyzes your data and the questions you're asking, then suggests improvements to your pipeline:

• "Your chunks might be too large for this type of query"
• "Consider adding a reranker for these multi-part questions"
• "Your retrieval is missing relevant context - try adjusting your embedding model"

Imagine:

• Real-time feedback as you develop
• Data-driven recommendations based on your actual queries
• Automated A/B testing suggestions
• Performance optimization hints

Questions for the community:

• What kinds of suggestions would be most helpful?
• Would you want this as an interactive agent or as automated analysis reports?
• What metrics matter most to you when evaluating pipeline quality?

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Share your thoughts on what would make this most useful for your workflow.