
GENKIT . DEV {
}
Title:
Google Generative AI plugin | Genkit
Description:
Learn how to configure and use the Genkit Google Generative AI plugin for Go to access Gemini models via the Gemini API or Vertex AI API.
Website Age:
0 years and 1 months (reg. 2025-05-20).
Matching Content Categories {📚}
- Mobile Technology & AI
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🚄 Respectable Traffic: 10k - 20k visitors per month
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Keywords {🔍}
google, api, err, cloud, plugin, models, vertex, genkit, model, configuration, reference, generative, section, titled, workflows, deploy, plugins, writing, embedding, pass, key, environment, credentials, content, generation, overview, gemini, import, default, supported, method, nil, return, started, generating, information, retrievalaugmented, rag, firebase, run, pgvector, usage, set, variable, directly, googlegenaivertexai, project, geminiflash, resp, textembedding,
Topics {✒️}
google ai api interrupts retrieval-augmented generation google ai studio generating content retriever firebase deploy local dev environment retrieval-augmented generation ai models google cloud environment cloud run deploy /firebase/genkit/ model plugin writing configuration depends /plugins/googlegenai google api js platform authorization text-multilingual-embedding-002 provide api credentials cloud secret manager configuration supported embedding model gemini_api_key environment variable google_cloud_project environment variable google_cloud_location environment variable experimental models gemini models api key directly reference model context protocol text-embedding-004 ai = ai google google project-id cloud run models api key plugin requires cloud functions information gemini api genkit initializer js model references vertexai{location plugin github roles/aiplatform
External Links {🔗}(9)
- How much profit is https://github.com/firebase/genkit making per month?
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- https://pkg.go.dev/github.com/firebase/genkit/go income
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