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| { | |
| "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" | |
| } | |
| } | |