sankalp1999/semantweet-search
Vector search over tweets from the tweet archive using OpenAI embeddings and LanceDB
This tool helps individuals or businesses search through their personal Twitter archives using natural language, rather than just keywords. You provide your Twitter archive, and it allows you to find specific tweets by describing what you're looking for, filtering them by time, likes, or retweets. The output is a list of relevant tweets that match your semantic search query. This is ideal for social media managers, researchers, or anyone wanting to revisit their past tweets without manual searching.
No commits in the last 6 months.
Use this if you need to find specific tweets from your own Twitter archive using descriptive phrases rather than exact words, and want to filter results by engagement metrics or media type.
Not ideal if you need to search tweets from other accounts, perform real-time searches on current Twitter data, or require a solution that doesn't involve local setup and processing of your archive.
Stars
58
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 25, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/sankalp1999/semantweet-search"
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