8310553f89
Journal and clippings search with LlamaIndex, HuggingFace embeddings, cross-encoder re-ranking, and local LLM inference via Ollama. Clippings index uses ChromaDB for persistent vector storage.
30 lines
879 B
Bash
Executable file
30 lines
879 B
Bash
Executable file
#!/bin/bash
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# This shell script will handle I/O for the python query engine
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# It will take a query and return the formatted results
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# E.M.F. August 2025
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# Usage: ./run_query.sh
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QUERY_SCRIPT="query_hybrid_bm25_v4.py"
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echo -e "Current query engine is $QUERY_SCRIPT\n"
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# Loop until input is "exit"
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while true; do
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read -p "Enter your query (or type 'exit' to quit): " query
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if [ "$query" == "exit" ] || [ "$query" == "quit" ] || [ "$query" == "" ] ; then
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echo "Exiting..."
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break
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fi
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time_start=$(date +%s)
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# Call the python script with the query and format the output
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python3 $QUERY_SCRIPT --query "$query" | \
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expand | sed -E 's|(.* )(.*/data)|\1./data|' | fold -s -w 131
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time_end=$(date +%s)
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elapsed=$((time_end - time_start))
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echo -e "Query processed in $elapsed seconds.\n"
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echo $query >> query.log
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done
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