Fix: Correct Gemini embedding model name in llm_factories.json (#13051)

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## Problem
   RAGFlow was using incorrect model names for Google Gemini embeddings:
   - `embedding-001` (missing `gemini-` prefix)
   - `text-embedding-004` (OpenAI model name, not Gemini)
   
   This caused API errors when users tried to use Gemini embeddings.
   
   ## Solution
- Updated `conf/llm_factories.json` to use the correct model name:
`gemini-embedding-001`
   - Removed the incorrect `text-embedding-004` entry
- Added volume mount in `docker-compose.yml` to ensure config changes
persist
   
   ## Testing
Tested with a valid Gemini API key and confirmed embeddings now work
correctly.

## Changes
- Modified `conf/llm_factories.json`
- Modified `docker/docker-compose.yml`

---------

Co-authored-by: Ahmad Intisar <ahmadintisar@Ahmads-MacBook-M4-Pro.local>
Co-authored-by: Kevin Hu <kevinhu.sh@gmail.com>

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This commit is contained in:

Ahmad Intisar

2026-02-11 06:49:48 +05:00

committed by GitHub

parent 109441628b

commit 99ed8e759d

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