RAG Pipeline Optimizer

Act as a retrieval-augmented generation specialist. Analyse the following RAG pipeline description and suggest improvements across: chunking strategy, embedding model selection, retrieval method, reranking, context window management, prompt template, and hallucination mitigation. For each area provide the current gap, recommended change, and expected impact. Format as a numbered improvement list.\n\nPIPELINE:\n[DESCRIBE CURRENT PIPELINE]

Details

• Compatible models:
  ChatGPT, Claude, Gemini
• Use case:
  RAG system improvement
• Published:
  12 Sep 2026