embeddings

Generate embeddings for text or multimodal content (images and videos) to perform semantic search, clustering, and other NLP tasks. Text and multimodal embedding vectors share the same semantic space, which allows you to use them…

Skills
AI research
2

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/embeddings && curl -fsSL https://doutorai.pt/data/lib/skills__embeddings.md -o .claude/skills/embeddings/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Text and Multimodal Embeddings

Generate embeddings for text or multimodal content (images and videos) to perform semantic search, clustering, and other NLP tasks. Text and multimodal embedding vectors share the same semantic space, which allows you to use them interchangeably for cross-modal applications like searching for an image using a text query, or searching for a video using an image.

## Basic Usage (Text)

```python
from google import genai
from google.genai import types

client = genai.Client()
response = client.models.embed_content(
    model="gemini-embedding-2",
    contents=[


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