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--- |
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license: mit |
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tags: |
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- transformers.js |
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- transformers |
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- semanticsearch |
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- SemanticFinder |
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--- |
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<p align="center"> |
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<a href="https://do-me.github.io/SemanticFinder/"> |
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<img src="https://github.com/do-me/SemanticFinder/assets/47481567/4522ab9d-08f4-4f4c-92db-dbf14ccb2b70" width="320" alt="SemanticFinder"> |
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</a> |
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<h1 align="center">Frontend-only live semantic search with transformers.js</h1> |
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</p> |
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- **App: [SemanticFinder](https://do-me.github.io/SemanticFinder/)** |
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- **GitHub: [do-me/SemanticFinder](https://github.com/do-me/SemanticFinder)** |
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This is the HF data repo for indexed texts, ready-to-import in SemanticFinder. The files contain the original text, text chunks and their embeddings. |
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### Catalogue |
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| filesize | textTitle | textAuthor | textYear | textLanguage | URL | modelName | quantized | splitParam | splitType | characters | chunks | wordsToAvoidAll | wordsToCheckAll | wordsToAvoidAny | wordsToCheckAny | exportDecimals | lines | textNotes | textSourceURL | filename | |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | |
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| 4.78 | Das Kapital | Karl Marx | 1867 | de | https://do-me.github.io/SemanticFinder/?hf=Das_Kapital_c1a84fba | Xenova/multilingual-e5-small | True | 80 | Words | 2003807 | 3164 | | | | | 5 | 28673 | | https://ia601605.us.archive.org/13/items/KarlMarxDasKapitalpdf/KAPITAL1.pdf | Das_Kapital_c1a84fba.json.gz | |
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| 2.58 | Divina Commedia | Dante | 1321 | it | https://do-me.github.io/SemanticFinder/?hf=Divina_Commedia_d5a0fa67 | Xenova/multilingual-e5-base | True | 50 | Words | 383782 | 1179 | | | | | 5 | 6225 | | http://www.letteratura-italiana.com/pdf/divina%20commedia/08%20Inferno%20in%20versione%20italiana.pdf | Divina_Commedia_d5a0fa67.json.gz | |
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| 11.92 | Don Quijote | Miguel de Cervantes | 1605 | es | https://do-me.github.io/SemanticFinder/?hf=Don_Quijote_14a0b44 | Xenova/multilingual-e5-base | True | 25 | Words | 1047150 | 7186 | | | | | 4 | 12005 | | https://parnaseo.uv.es/lemir/revista/revista19/textos/quijote_1.pdf | Don_Quijote_14a0b44.json.gz | |
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| 0.06 | Hansel and Gretel | Brothers Grimm | 1812 | en | https://do-me.github.io/SemanticFinder/?hf=Hansel_and_Gretel_4de079eb | TaylorAI/gte-tiny | True | 100 | Chars | 5304 | 55 | | | | | 5 | 9 | | https://www.grimmstories.com/en/grimm_fairy-tales/hansel_and_gretel | Hansel_and_Gretel_4de079eb.json.gz | |
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| 13.52 | Iliad | Homer | -750 | gr | https://do-me.github.io/SemanticFinder/?hf=Iliad_8de5d1ea | Xenova/multilingual-e5-small | True | 20 | Words | 1597139 | 11848 | | | | | 5 | 32659 | Including modern interpretation | https://www.stipsi.gr/homer/iliada.pdf | Iliad_8de5d1ea.json.gz | |
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| 1.74 | IPCC Report 2023 | IPCC | 2023 | en | https://do-me.github.io/SemanticFinder/?hf=IPCC_Report_2023_2b260928 | Supabase/bge-small-en | True | 200 | Chars | 307811 | 1566 | | | | | 5 | 3230 | state of knowledge of climate change | https://report.ipcc.ch/ar6syr/pdf/IPCC_AR6_SYR_LongerReport.pdf | IPCC_Report_2023_2b260928.json.gz | |
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| 25.56 | King James Bible | | None | en | https://do-me.github.io/SemanticFinder/?hf=King_James_Bible_24f6dc4c | TaylorAI/gte-tiny | True | 200 | Chars | 4556163 | 23056 | | | | | 5 | 80496 | | https://www.holybooks.com/wp-content/uploads/2010/05/The-Holy-Bible-King-James-Version.pdf | King_James_Bible_24f6dc4c.json.gz | |
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| 11.45 | King James Bible | | None | en | https://do-me.github.io/SemanticFinder/?hf=King_James_Bible_6434a78d | TaylorAI/gte-tiny | True | 200 | Chars | 4556163 | 23056 | | | | | 2 | 80496 | | https://www.holybooks.com/wp-content/uploads/2010/05/The-Holy-Bible-King-James-Version.pdf | King_James_Bible_6434a78d.json.gz | |
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| 39.32 | Les Misérables | Victor Hugo | 1862 | fr | https://do-me.github.io/SemanticFinder/?hf=Les_Misérables_2239df51 | Xenova/multilingual-e5-base | True | 25 | Words | 3236941 | 19463 | | | | | 5 | 74491 | All five acts included | https://beq.ebooksgratuits.com/vents/Hugo-miserables-1.pdf | Les_Misérables_2239df51.json.gz | |
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| 0.46 | REGULATION (EU) 2023/138 | European Commission | 2022 | en | https://do-me.github.io/SemanticFinder/?hf=REGULATION_(EU)_2023_138_c00e7ff6 | Supabase/bge-small-en | True | 25 | Words | 76809 | 424 | | | | | 5 | 1323 | | https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:32023R0138&qid=1704492501351 | REGULATION_(EU)_2023_138_c00e7ff6.json.gz | |
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| 0.07 | Universal Declaration of Human Rights | United Nations | 1948 | en | https://do-me.github.io/SemanticFinder/?hf=Universal_Declaration_of_Human_Rights_0a7da79a | TaylorAI/gte-tiny | True | \nArticle | Regex | 8623 | 63 | | | | | 5 | 109 | 30 articles | https://www.un.org/en/about-us/universal-declaration-of-human-rights | Universal_Declaration_of_Human_Rights_0a7da79a.json.gz | |
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### Example |
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Once loaded in SemanticFinder it takes around 2 seconds to search through the whole bible! Try it out. |
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1. Click on one of the example URLs of your choice. |
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2. Once the index loaded, simply enter something you want to search for and hit "Find". The results will appear almost instantly. |
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### Create SemanticFinder files |
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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. Add the metadata (so other people can find your index) and export the file. Note that you have the freedom to reduce decimals to reduce file size; usually 3 is more than enough depending on the model. Less than 3 will also do in most cases but if you need highest accuracy go with 5 or more. |
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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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### Privacy |
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- This repo is public and shares documents of public interest or documents in the public domain. |
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- If you have sensitive documents you can still create the index with SemanticFinder and use it only locally. |
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Either you can load the index from disk each time or you host it in your local network and add the URL in SemanticFinder. |
