Item logo image for Vector Search for X (formerly Twitter)

Vector Search for X (formerly Twitter)

vector-search-for-x.com
5.0(

1 rating

)
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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

  • Version
    0.0.20
  • Updated
    September 14, 2024
  • Size
    1.5MiB
  • Languages
    English
  • Developer
    Website
    Email
    alexandre@godard.me
  • Non-trader
    This 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:

Location
User activity

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

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