tinyvector-0.0.0-alpha.1 is not a library.
Features
- Tiny: It's in the name. It's just a Flask server, SQLite DB, and Numpy indexes. Extremely easy to customize, under 500 lines of code.
- Fast: Tinyvector already beats other advanced vector databases when it comes to speed on small to medium datasets.
- Vertically Scales: Tinyvector stores all indexes in memory for fast querying. Very easy to scale up to 100 million+ vector dimensions without issue.
- Open Source: MIT Licensed, free forever.
Soon
- Powerful Queries: Tinyvector is being upgraded with full SQL querying functionality, something missing from most other databases.
- Integrated Models: Soon you won't have to bring your own vectors, just generate them on the server automaticaly. Will support SBert, Hugging Face models, OpenAI, Cohere, etc.
- Python/JS Client: We'll add a comprehensive Python and Javascript package for easy integration with tinyvector in the next two weeks.
Embeddings?
What are embeddings?
As simple as possible: Embeddings are a way to compare similar things, in the same way humans compare similar things, by converting text into a small list of numbers. Similar pieces of text will have similar numbers, different ones have very different numbers.
Read OpenAI's explanation.