RAG with Summarization

{
  "searches": [
    {
      "feature_uri": "mixpeek://text_extractor@v1/multilingual_e5_large_instruct_v1",
      "query": {
        "input_mode": "text",
        "value": "{{INPUT.query}}"
      },
      "top_k": 100
    }
  ],
  "final_top_k": 20
}

{
  "inference_name": "baai_bge_reranker_v2_m3",
  "query": "{{INPUT.query}}",
  "document_field": "content",
  "top_k": 5
}

{
  "provider": "google",
  "model_name": "gemini-2.5-flash-lite",
  "prompt": "Based on the following documents, answer this question: {{INPUT.query}}\n\n{{DOCUMENTS}}\n\nProvide a comprehensive answer:",
  "output_field": "answer",
  "include_sources": true
}