Embedding models from Gemini
Project description
llm-embed-gemini
MARCH 7, 2025: State-of-the-art text embedding via the Gemini API
Installation
Install this plugin in the same environment as LLM.
llm install llm-embed-gemini
Usage
To get started embedding a single string, run the following:
export GEMINI_API_KEY=xxxx
llm embed -m gemini-embedding-exp-03-07 -c 'Hello world'
This plugin adds support for three new embedding models:
- gemini-embedding-exp-03-07
- text-embedding-004
- embedding-001
See the LLM documentation for everything you can do.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file llm_embed_gemini-0.1.0.tar.gz.
File metadata
- Download URL: llm_embed_gemini-0.1.0.tar.gz
- Upload date:
- Size: 6.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4d910b65fa735446a6324efc831bb8c81e37ad03498d62a7ee948cbe7e0d1d47
|
|
| MD5 |
9013d4555ef4e74e6981e9bfc87b93f8
|
|
| BLAKE2b-256 |
15990376896c121948cf74cf439fec3a79441ae4f1bcc02624187e29feefa200
|
File details
Details for the file llm_embed_gemini-0.1.0-py3-none-any.whl.
File metadata
- Download URL: llm_embed_gemini-0.1.0-py3-none-any.whl
- Upload date:
- Size: 7.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6f55f143a061da8eb4964cf1e0ab02007f206de4801cb28826386012dfc1fd11
|
|
| MD5 |
ea3c4026ae2949e6d5e4fd5248587c10
|
|
| BLAKE2b-256 |
018b08d5451cff60bc3a7db95123fb915558d027e5a313f0fd35856353c824bf
|
