Move clippings store into clippings_search/store_clippings/
Rename storage_clippings/ to clippings_search/store_clippings/ to keep the experimental clippings search self-contained in its subdirectory.
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4 changed files with 5 additions and 5 deletions
2
.gitignore
vendored
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.gitignore
vendored
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@ -8,7 +8,7 @@ models/
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# Vector stores (large, rebuild with build scripts)
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# Vector stores (large, rebuild with build scripts)
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store/
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store/
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storage_clippings/
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clippings_search/store_clippings/
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# Data (symlinks to private files)
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# Data (symlinks to private files)
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data
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data
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@ -24,11 +24,11 @@ ssearch/
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├── run_query.sh # Interactive shell wrapper with timing and logging
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├── run_query.sh # Interactive shell wrapper with timing and logging
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├── clippings_search/
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├── clippings_search/
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│ ├── build_clippings.py # Build/update clippings vector store (ChromaDB)
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│ ├── build_clippings.py # Build/update clippings vector store (ChromaDB)
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│ └── retrieve_clippings.py # Verbatim clippings chunk retrieval
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│ ├── retrieve_clippings.py # Verbatim clippings chunk retrieval
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│ └── store_clippings/ # Persisted clippings vector store (ChromaDB)
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├── data/ # Symlink to journal .txt files
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├── data/ # Symlink to journal .txt files
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├── clippings/ # Symlink to clippings (PDFs, TXT, webarchive, RTF)
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├── clippings/ # Symlink to clippings (PDFs, TXT, webarchive, RTF)
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├── store/ # Persisted journal vector store
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├── store/ # Persisted journal vector store
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├── storage_clippings/ # Persisted clippings vector store (ChromaDB)
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├── models/ # Cached HuggingFace models (offline)
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├── models/ # Cached HuggingFace models (offline)
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├── archived/ # Superseded script versions
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├── archived/ # Superseded script versions
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├── saved_output/ # Saved query results and model comparisons
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├── saved_output/ # Saved query results and model comparisons
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@ -37,7 +37,7 @@ import time
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# Shared constants
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# Shared constants
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DATA_DIR = Path("./clippings")
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DATA_DIR = Path("./clippings")
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PERSIST_DIR = "./storage_clippings"
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PERSIST_DIR = "./clippings_search/store_clippings"
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COLLECTION_NAME = "clippings"
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COLLECTION_NAME = "clippings"
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EMBED_MODEL_NAME = "BAAI/bge-large-en-v1.5"
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EMBED_MODEL_NAME = "BAAI/bge-large-en-v1.5"
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CHUNK_SIZE = 256
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CHUNK_SIZE = 256
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@ -27,7 +27,7 @@ import textwrap
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# Globals
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# Globals
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#
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#
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PERSIST_DIR = "./storage_clippings"
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PERSIST_DIR = "./clippings_search/store_clippings"
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COLLECTION_NAME = "clippings"
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COLLECTION_NAME = "clippings"
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# Embedding model (must match build_clippings.py)
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# Embedding model (must match build_clippings.py)
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