Google Gemini
Use Google's Gemini models for answer generation. Knowledge-base processing (embeddings) runs on OpenAI.
Your channels
answerLoops
What you control
Google's Gemini models generate the answers answerLoops drafts. This integration covers chat only for now.
OpenAI is the only provider that can handle knowledge-base processing (embeddings) today. Google Gemini and Mistral are coming soon. On a hosted plan, knowledge-base processing runs on your plan's included AI usage until you add an OpenAI key under Embeddings, which removes that limit. Self-hosted installs need an OpenAI key (or a custom embedding endpoint).
Available on every plan. Usage bills to your Google AI account.
1. Get an API key
Create a key in Google AI Studio. The free tier is generous for evaluation; add billing for production traffic.
2. Configure in answerLoops
- Settings → AI Model → Edit (owner or admin).
- Chat provider: Google Gemini.
- Model ID: e.g.
gemini-2.5-flash,gemini-2.5-pro,gemini-2.0-flash— the field suggests current options; see the Gemini models list for exact names. - API key: paste your Google AI Studio key.
- Embeddings: leave the provider on OpenAI. On a hosted plan the OpenAI API key field is optional: leave it blank to use included AI usage for knowledge-base processing, or add a key to remove the limit. Self-hosted installs must enter one, or knowledge-base search and KB imports fail after you save. answerLoops tells you if it's missing.
- Click Test connection, then Save.
Models
| Use | Choice |
|---|---|
| Balanced | gemini-2.5-flash |
| Best answers | gemini-2.5-pro |
| Cheapest | gemini-2.0-flash-lite |
Related
- AI Model settings
- OpenAI integration — for an OpenAI embedding key