infiniflow / infiniflow/ragflow

[Feature Request]: Add support to gemini-embedding-exp-03-07

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Dominant language
Go
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Forks
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Avg merge
1d 14h
Merged PRs (30d)
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Description

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Is your feature request related to a problem?
No
Describe the feature you'd like

Add support to gemini-embedding-exp-03-07, which seems to be a promising embedding model, and currently does not appear in Gemini model list.

Describe implementation you've considered

No response

Documentation, adoption, use case

Additional information

https://developers.googleblog.com/en/gemini-embedding-text-model-now-available-gemini-api/
https://ai.google.dev/gemini-api/docs/models#gemini-embedding
Input token limit: 8,192
Output dimension size: Elastic, supports: 3072, 1536, or 768

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The issue names the Gemini embedding model and links its Google documentation, but provides no repository files, tests, or implementation entry point. Start by reading the linked model documentation and comparing it with RAGFlow's current supported-model listing; done should include the model appearing there with the documented token limit and supported output dimensions.

Written by the indexing model from the issue text.

Assessment

Tech stack
go
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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