{
  "mode": "recorded",
  "version": "1.5.1",
  "recorded_on": "2026-10-11",
  "examples": [
    "What was the January invoice total?",
    "Which evaluation metrics did the planning meeting agree to ship?",
    "What does retrieval-augmented generation combine?"
  ],
  "records": [
    {
      "question": "What was the January invoice total?",
      "passages": [
        {
          "text": "The January 2025 invoice from Acme Corp totaled $1,240.50. File saved as `invoice-jan-2025.pdf` in Downloads.",
          "source": "notes.md",
          "score": 0.032522
        },
        {
          "text": "PersonalRAGVault screenshot demo tasks:\n- Run ingest on this folder\n- Open UI at http://127.0.0.1:8501\n- Query: \"What was the January invoice total?\"\n- Show result cards and document preview",
          "source": "todo.txt",
          "score": 0.032522
        },
        {
          "text": "We agreed to ship evaluation metrics (Hit@k, MRR, NDCG) and a Streamlit UI for browsing retrieval results.",
          "source": "notes.md",
          "score": 0.015873
        }
      ],
      "version": "1.5.1",
      "generation": false,
      "method": "MiniLM embeddings + hybrid retrieval",
      "notice": "Matching passages can be irrelevant. Inspect the source; this is not a generated answer or a benchmark."
    },
    {
      "question": "Which evaluation metrics did the planning meeting agree to ship?",
      "passages": [
        {
          "text": "We agreed to ship evaluation metrics (Hit@k, MRR, NDCG) and a Streamlit UI for browsing retrieval results.",
          "source": "notes.md",
          "score": 0.032787
        },
        {
          "text": "The January 2025 invoice from Acme Corp totaled $1,240.50. File saved as `invoice-jan-2025.pdf` in Downloads.",
          "source": "notes.md",
          "score": 0.032002
        },
        {
          "text": "PersonalRAGVault screenshot demo tasks:\n- Run ingest on this folder\n- Open UI at http://127.0.0.1:8501\n- Query: \"What was the January invoice total?\"\n- Show result cards and document preview",
          "source": "todo.txt",
          "score": 0.031754
        }
      ],
      "version": "1.5.1",
      "generation": false,
      "method": "MiniLM embeddings + hybrid retrieval",
      "notice": "Matching passages can be irrelevant. Inspect the source; this is not a generated answer or a benchmark."
    },
    {
      "question": "What does retrieval-augmented generation combine?",
      "passages": [
        {
          "text": "Retrieval-augmented generation combines vector search over your documents with a local LLM (Ollama) to answer questions using your own files.",
          "source": "notes.md",
          "score": 0.032787
        },
        {
          "text": "We agreed to ship evaluation metrics (Hit@k, MRR, NDCG) and a Streamlit UI for browsing retrieval results.",
          "source": "notes.md",
          "score": 0.032002
        },
        {
          "text": "PersonalRAGVault screenshot demo tasks:\n- Run ingest on this folder\n- Open UI at http://127.0.0.1:8501\n- Query: \"What was the January invoice total?\"\n- Show result cards and document preview",
          "source": "todo.txt",
          "score": 0.032002
        }
      ],
      "version": "1.5.1",
      "generation": false,
      "method": "MiniLM embeddings + hybrid retrieval",
      "notice": "Matching passages can be irrelevant. Inspect the source; this is not a generated answer or a benchmark."
    }
  ],
  "sources": [
    "notes.md",
    "todo.txt"
  ],
  "release": "https://github.com/seanebones-lang/personal-RAG/releases/tag/v1.5.1",
  "corpus_sha256": {
    "notes.md": "94b91e097b6a0b59cacc7624dd22a2a2cdad73eba5be744f83b58725145f8841",
    "todo.txt": "72cea261e073944411fa6226e0d76a10a15df94ce8f4e51942c7ec1cdd5a0094"
  }
}