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README.md
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@@ -45,4 +45,4 @@ Once loaded in SemanticFinder it takes less than 3 seconds to search through the
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1. Just use SemanticFinder as usual and run at least one search so that the index is created. This might take a while if your input is large. E.g. indexing the bible with 200 chars results in ~23k embeddings and takes 15-30 mins with a quantized gte-tiny model.
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2. Export the index file. Note that you have the freedom to reduce decimals to reduce file size; usually 5 is more than enough.
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3. Create a PR here if you want to see it added in the official collection!
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1. Just use SemanticFinder as usual and run at least one search so that the index is created. This might take a while if your input is large. E.g. indexing the bible with 200 chars results in ~23k embeddings and takes 15-30 mins with a quantized gte-tiny model.
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2. Export the index file. Note that you have the freedom to reduce decimals to reduce file size; usually 5 is more than enough.
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3. Create a PR here if you want to see it added in the official collection! Just make sure to run `create_meta_data_csv_md.py` once to update the csv/md file. For now, the `readme.md` table here needs to be updated with the meta_data.md manually.
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