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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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remove-youtube-suggestions
A browser extension that removes YouTube suggestions, comments, shorts, and more
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vector-provision-options
Tutorial to demonstrate different ways of providing vectors for Weaviate objects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
It looks like you're running searches using LIKE: https://github.com/NotJoeMartinez/yt-fts/blob/050981c0519a96...
SQLite has a really power full-text search mechanism built in - FTS5. It can handle things like stemming and stop words and relevance ranking.
My sqlite-utils Python library includes helper methods for setting that up: https://sqlite-utils.datasette.io/en/stable/python-api.html#...
This extension does a good job of removing them from your subscription feed. If you like me, guard your feed since you don't want to watch random stuff from the home page this is the only way to not totally clutter the feed with random shorts thumbnails. The very fact you can not disable shorts from your feed is outrageous, but obviously not surprising.
https://chrome.google.com/webstore/detail/youtube-shorts-blo...
self-promo, but you might find my extension helpful. https://lawrencehook.com/rys/
If you're getting started with Weaviate, these two are probably what you need:
1. Wizard to create a docker-compose file: https://weaviate.io/developers/weaviate/installation/docker-... (e.g. choose the embedding model)
2. Sample notebook showing how to index items using the python library: https://github.com/weaviate-tutorials/vector-provision-optio...
If you're getting started with Weaviate, these two are probably what you need:
1. Wizard to create a docker-compose file: https://weaviate.io/developers/weaviate/installation/docker-... (e.g. choose the embedding model)
2. Sample notebook showing how to index items using the python library: https://github.com/weaviate-tutorials/vector-provision-optio...
i used to imagine similar opportunities with google books. but they have done basically nothing with it. and that's been like 20 years.
if anyone could have disrupted the corrupt and unfair academic publishing world, it was Google. they just found it an uninteresting task. they preferred to work on G+, Stadia, Google Code, etc, https://killedbygoogle.com/