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 files for llm-embed-gemini 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| llm_embed_gemini-0.1.4.tar.gz | 6.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llm_embed_gemini-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.2 kB
Release files / llm_embed_gemini-0.1.4.tar.gz
| Download URL | llm_embed_gemini-0.1.4.tar.gz |
|---|---|
| Size | 6.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.12
|
Release files / llm_embed_gemini-0.1.4-py3-none-any.whl
| Download URL | llm_embed_gemini-0.1.4-py3-none-any.whl |
|---|---|
| Size | 7.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.12
|