fourviere-podcast
yt-semantic-search
| fourviere-podcast | yt-semantic-search | |
|---|---|---|
| 1 | 6 | |
| 18 | 526 | |
| - | 1.1% | |
| 9.0 | 3.2 | |
| 10 months ago | about 2 years ago | |
| TypeScript | TypeScript | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
fourviere-podcast
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A pseudo imperative approach for react confirmation dialogs
Here is an oversimplified version. If you want to see the implementation with the tailwind classes, please look at our ui lib
yt-semantic-search
- Dev LLM stack, production LLM stack, example projects, & things you'll discover
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Show HN: Semantic Search for Any Video
Are you using whisper for transcription?
For https://github.com/transitive-bullshit/yt-semantic-search, I'm using YouTube's built-in transcriptions which definitely aren't as high quality, but they work well enough to power the semantic search.
- Show HN: OpenAI-powered semantic search for the All-In Podcast
- OpenAI-powered semantic search for the All-In Podcast
What are some alternatives?
podhouse - The best way to listen to your favorite podcasts.
generate-subtitles - Generate transcripts for audio and video content with a user friendly UI, powered by Open AI's Whisper with automatic translations and download videos automatically with yt-dlp integration
podverse-fdroid - Clone of the podverse-rn repo, with changes made for F-Droid compatibility
openai-cookbook - Examples and guides for using the OpenAI API
digestor - Parses an existing newsfeed of a podcast from radiostudent.si and generates a nicer podcast RSS.
client-vector-search - A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.