Vector Search for X (formerly Twitter)
1 rating
)Overview
Automatically vectorize tweets you've seen so you can actually find them later.
Leverage the power of embeddings to find tweets you vaguely remember via keywords or concepts - Saves every tweets you scroll by inside your browser’s IndexedDB, including media content - Syncs across your devices via Google Drive appDataFolder (requires authorization). Turned off by default. - Provides a Twitter-like interface for you to search tweets you’ve seen. - Search results are displayed exactly as seen on Twitter. There is a “compact” mode option that reduces the size of the media elements so more focus is placed on text. - All you need is an OpenAI key. You can generate embeddings via either the text-3-embedding-large or text-3-embedding-small. The cost is negligable, but there is a cost estimator inside the extension should you be curious about pricing (around 150k tweets per $ for the large model) - Small amount of customization options, like the similarity score threshold for a tweet to appear in your search results. Got an idea to improve this extension? Tweet at/DM me here: https://x.com/godardbuilds
5 out of 51 rating
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Details
- Version0.0.20
- UpdatedSeptember 14, 2024
- Size1.5MiB
- LanguagesEnglish
- DeveloperWebsite
Email
alexandre@godard.me - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
Vector Search for X (formerly Twitter) has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
Vector Search for X (formerly Twitter) handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
Support
For help with questions, suggestions, or problems, please open this page on your desktop browser