1.2 KiB
Embeddings
GPT4All supports generating high quality embeddings of arbitrary length documents of text using a CPU optimized contrastively trained Sentence Transformer. These embeddings are comparable in quality for many tasks with OpenAI.
Quickstart
pip install gpt4all
Generating embeddings
The embedding model will automatically be downloaded if not installed.
=== "Embed4All Example"
py from gpt4all import GPT4All, Embed4All text = 'The quick brown fox jumps over the lazy dog' embedder = Embed4All() output = embedder.embed(text) print(output)
=== "Output"
[0.034696947783231735, -0.07192722707986832, 0.06923297047615051, ...]
Speed of embedding generation
The following table lists the generation speed for text documents of N tokens captured on an Intel i913900HX CPU with DDR5 5600 running with 8 threads under stable load.
| Tokens | 128 | 512 | 2048 | 8129 | 2^14 |
|---|---|---|---|---|---|
| Wall time (s) | .02 | .08 | .24 | .96 | 1.9 |
| Tokens / Second | 6508 | 6431 | 8622 | 8509 | 8369 |
API documentation
::: gpt4all.gpt4all.Embed4All