lanterndata/lantern_extras
Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables
This tool helps data professionals, machine learning engineers, and data scientists easily work with vector embeddings directly within a PostgreSQL database. It allows you to import pre-existing embedding datasets or generate new embeddings for text and images stored in your tables. The output is augmented database tables with new columns containing the generated vector embeddings, ready for search or analysis.
No commits in the last 6 months.
Use this if you need to generate, import, or manage vector embeddings for your data without moving it out of your PostgreSQL database.
Not ideal if your primary goal is simple data storage without needing to perform advanced vector operations or integrate with machine learning models.
Stars
22
Forks
4
Language
Rust
License
—
Category
Last pushed
Oct 18, 2024
Commits (30d)
0
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