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Add gemini-embedding-2 support and update defaults #535

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Add gemini-embedding-2 support and update defaults #535

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23 changes: 20 additions & 3 deletions src/shared/embeddingModels.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -35,6 +35,10 @@ export const EMBEDDING_MODEL_PROFILES: EmbeddingModelProfiles = {
},
gemini: {
"gemini-embedding-001": { dimension: 3072, scoreThreshold: 0.4 },

// Gemini Embedding 2 for Gemini API / AI Studio / Vertex-style usage
"gemini-embedding-2": { dimension: 3072, scoreThreshold: 0.4 },

// Deprecated: text-embedding-004 is migrated to gemini-embedding-001 in GeminiEmbedder
// Kept here for backward-compatible dimension lookup in createVectorStore()
"text-embedding-004": { dimension: 3072, scoreThreshold: 0.4 },
Expand All @@ -47,14 +51,19 @@ export const EMBEDDING_MODEL_PROFILES: EmbeddingModelProfiles = {
"openai/text-embedding-3-small": { dimension: 1536, scoreThreshold: 0.4 },
"openai/text-embedding-3-large": { dimension: 3072, scoreThreshold: 0.4 },
"openai/text-embedding-ada-002": { dimension: 1536, scoreThreshold: 0.4 },

// Cohere models
"cohere/embed-v4.0": { dimension: 1024, scoreThreshold: 0.4 },

// Google models
"google/gemini-embedding-001": { dimension: 3072, scoreThreshold: 0.4 },
"google/gemini-embedding-2": { dimension: 3072, scoreThreshold: 0.4 },
"google/text-embedding-005": { dimension: 768, scoreThreshold: 0.4 },
"google/text-multilingual-embedding-002": { dimension: 768, scoreThreshold: 0.4 },

// Amazon models
"amazon/titan-embed-text-v2": { dimension: 1024, scoreThreshold: 0.4 },

// Mistral models
"mistral/codestral-embed": { dimension: 1536, scoreThreshold: 0.4 },
"mistral/mistral-embed": { dimension: 1024, scoreThreshold: 0.4 },
Expand All @@ -64,10 +73,13 @@ export const EMBEDDING_MODEL_PROFILES: EmbeddingModelProfiles = {
"amazon.titan-embed-text-v1": { dimension: 1536, scoreThreshold: 0.4 },
"amazon.titan-embed-text-v2:0": { dimension: 1024, scoreThreshold: 0.4 },
"amazon.titan-embed-image-v1": { dimension: 1024, scoreThreshold: 0.4 },

// Amazon Nova Embed models
"amazon.nova-2-multimodal-embeddings-v1:0": { dimension: 1024, scoreThreshold: 0.4 },

// Cohere Embed v4 (supports only text for now; multimodal image support planned)
"cohere.embed-v4:0": { dimension: 1536, scoreThreshold: 0.4 },

// Cohere Embed v3 models available through Bedrock
"cohere.embed-english-v3": { dimension: 1024, scoreThreshold: 0.4 },
"cohere.embed-multilingual-v3": { dimension: 1024, scoreThreshold: 0.4 },
Expand All @@ -77,11 +89,15 @@ export const EMBEDDING_MODEL_PROFILES: EmbeddingModelProfiles = {
"openai/text-embedding-3-small": { dimension: 1536, scoreThreshold: 0.4 },
"openai/text-embedding-3-large": { dimension: 3072, scoreThreshold: 0.4 },
"openai/text-embedding-ada-002": { dimension: 1536, scoreThreshold: 0.4 },

// Google models via OpenRouter
"google/gemini-embedding-001": { dimension: 3072, scoreThreshold: 0.4 },
"google/gemini-embedding-2": { dimension: 3072, scoreThreshold: 0.4 },

// Mistral models via OpenRouter
"mistralai/mistral-embed-2312": { dimension: 1024, scoreThreshold: 0.4 },
"mistralai/codestral-embed-2505": { dimension: 1536, scoreThreshold: 0.4 },

// Qwen models via OpenRouter
"qwen/qwen3-embedding-0.6b": { dimension: 1024, scoreThreshold: 0.4 },
"qwen/qwen3-embedding-4b": { dimension: 2560, scoreThreshold: 0.4 },
Expand Down Expand Up @@ -175,18 +191,19 @@ export function getDefaultModelId(provider: EmbedderProvider): string {
}

case "gemini":
return "gemini-embedding-001"
return "gemini-embedding-2"

case "mistral":
return "codestral-embed-2505"

case "vercel-ai-gateway":
return "openai/text-embedding-3-large"
return "google/gemini-embedding-2"

case "bedrock":
return "amazon.titan-embed-text-v2:0"

case "openrouter":
return "openai/text-embedding-3-large"
return "google/gemini-embedding-2"

case "semble":
return "potion-code-16M"
Expand Down
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