README.md

metadata

license: mit
tags:
  - transformers.js
  - transformers
  - semanticsearch
  - SemanticFinder

Frontend-only live semantic search with transformers.js

• App: SemanticFinder

• GitHub: do-me/SemanticFinder

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.

Catalogue

filesize	textTitle	textAuthor	textYear	textLanguage	URL	modelName	quantized	splitParam	splitType	characters	chunks	wordsToAvoidAll	wordsToCheckAll	wordsToAvoidAny	wordsToCheckAny	exportDecimals	lines	textNotes	textSourceURL	filename
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
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
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
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
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
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
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
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
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
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
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

Example

Once loaded in SemanticFinder it takes around 2 seconds to search through the whole bible! Try it out.

1. Click on one of the example URLs of your choice.
2. Once the index loaded, simply enter something you want to search for and hit "Find". The results will appear almost instantly.

Create SemanticFinder files

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.
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.
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.

Privacy

• This repo is public and shares documents of public interest or documents in the public domain.
• If you have sensitive documents you can still create the index with SemanticFinder and use it only locally. Either you can load the index from disk each time or you host it in your local network and add the URL in SemanticFinder.