# Understanding task types in the Gemini Embedding API

DevFeed: [Understanding task types in the Gemini Embedding API](<https://devfeed.tech/articles/understanding-task-types-in-the-gemini-embedding-api-31145.md>)

Original publisher: [Read original article](<https://technicalwriting.dev/2025/05/tasks/index.html>)

Published: 2025-05-15T00:00:00Z

Content type: tutorial

Language: en

Sources: [technicalwriting.dev](<https://devfeed.tech/sources/technicalwriting-dev.md>)

Topics: [API](<https://devfeed.tech/topics/api.md>), [Embeddings](<https://devfeed.tech/topics/embeddings.md>), [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [genai](<https://devfeed.tech/topics/genai.md>)

Tags: [api](<https://devfeed.tech/tags/api.md>), [embeddings](<https://devfeed.tech/tags/embeddings.md>), [enum](<https://devfeed.tech/tags/enum.md>), [fact-verification](<https://devfeed.tech/tags/fact-verification.md>), [rag](<https://devfeed.tech/tags/rag.md>)

## AI overview

This article examines the taskType parameter supported by the Gemini Embedding API's models.embedContent method. It reviews the documented task types, their use in retrieval-augmented generation, and how task-specific embeddings are described in the Gemini Embedding paper and Python client source.

## Source excerpt

Should I care about the taskType parameter of the models.embedContent method?