fix: correct Gemini embedding model dimensions #7349
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- Fix gemini-embedding-001 dimension from 3072 to 768 in embeddingModels.ts - Update documentation comment in gemini.ts to reflect correct dimension - Update test expectations in service-factory.spec.ts This fixes the vector dimension mismatch error when using Gemini text-embedding-004 with Qdrant, where vectors with incorrect dimensions (1024 or 3072) were being sent to Qdrant which expects 768-dimensional vectors. Fixes #7348
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src/shared/embeddingModels.ts
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| gemini: { | ||
| "text-embedding-004": { dimension: 768 }, | ||
| "gemini-embedding-001": { dimension: 3072, scoreThreshold: 0.4 }, | ||
| "gemini-embedding-001": { dimension: 768, scoreThreshold: 0.4 }, |
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🚨 Critical Issue: This change appears to be incorrect. The issue reporter explicitly stated that "gemini-embedding-001 should be 3072" and that this fix is "actually breaking the wrong thing".
The original configuration had this model at 3072 dimensions, which aligns with the issue reporter's feedback. Changing it to 768 would break existing embeddings that were created with 3072 dimensions.
Is this change based on official Google documentation? If so, could we verify the correct dimensions for this specific model?
| * Supported models: | ||
| * - text-embedding-004 (dimension: 768) | ||
| * - gemini-embedding-001 (dimension: 2048) | ||
| * - gemini-embedding-001 (dimension: 768) |
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This documentation update contradicts both the original configuration (3072) and the issue reporter's explicit feedback. The comment should reflect the actual dimension of the model.
Additionally, the real issue appears to be that 1024-dimensional vectors are being sent to Qdrant, which doesn't match either 768 or 3072. This suggests there might be a different root cause - possibly a model ID mismatch or the wrong model being selected at runtime.
| } | ||
| mockConfigManager.getConfig.mockReturnValue(testConfig as any) | ||
| mockGetModelDimension.mockReturnValue(3072) | ||
| mockGetModelDimension.mockReturnValue(768) |
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These test changes assume 768 dimensions for gemini-embedding-001, but this appears to be incorrect based on the issue reporter's feedback. The tests were correctly expecting 3072 dimensions before.
Changing tests to match incorrect assumptions could mask the real issue and make it harder to detect problems in the future.
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- Fixed incorrect dimension configuration for gemini-embedding-001 model - Updated comment in gemini.ts to reflect correct dimension (3072) - This resolves Qdrant dimension mismatch errors when using Gemini embeddings Fixes #7348
- Fixed unsafe buffer handling that could cause dimension truncation - Use DataView with proper byte order handling for Float32Array conversion - This prevents reading beyond buffer boundaries and data corruption - Affects all models using base64 encoding, not just Gemini The previous implementation used buffer.buffer directly which could: 1. Read from wrong memory locations if buffer was a view 2. Cause dimension truncation for large embeddings (like 3072-dim) 3. Result in incorrect embedding values Fixes #7348
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Closing, the issue is not even related to the openAI compatible provider |
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Description
This PR attempts to address Issue #7348 by correcting the dimension configuration for Gemini embedding models.
Changes Made
Issue Context
The issue reports vector dimension mismatch errors when using Gemini text-embedding-004 with Qdrant. The error logs show:
Partial Fix
This PR fixes the 3072 dimension issue by correcting the configuration for gemini-embedding-001. However, the issue also mentions 1024-dimensional vectors being sent, which requires further investigation as noted in my comment on the issue.
Testing
Next Steps
Awaiting clarification from the issue reporter about:
Fixes #7348 (partial fix)
Feedback and guidance are welcome!
Important
Fixes Gemini embedding model dimension from 3072 to 768 in code and tests, partially addressing Issue #7348.
gemini-embedding-001dimension from 3072 to 768 inembeddingModels.ts.service-factory.spec.tsto use dimension 768.gemini.tsto reflect correct dimension (768).This description was created by
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