xref: /plugin/aichat/Model/VoyageAI/models.json (revision 666b8ea780a78b4ff2dd542c18bf1bb6da1ad2d3) 
1{
2    "embedding": {
3        "voyage-2": {
4            "description": "General-purpose embedding model optimized for a balance between cost, latency, and retrieval quality.",
5            "inputTokens": 4000,
6            "inputTokenPrice": 0.1,
7            "dimensions": 1024
8        },
9        "voyage-large-2": {
10            "description": "General-purpose embedding model that is optimized for retrieval quality.",
11            "inputTokens": 16000,
12            "inputTokenPrice": 0.12,
13            "dimensions": 1536
14        },
15        "voyage-law-2": {
16            "description": "Optimized for legal and long-context retrieval and RAG. Also improved performance across all domains.",
17            "inputTokens": 16000,
18            "inputTokenPrice": 0.12,
19            "dimensions": 1024
20        },
21        "voyage-code-2": {
22            "description": "Optimized for code retrieval (17% better than alternatives). ",
23            "inputTokens": 16000,
24            "inputTokenPrice": 0.12,
25            "dimensions": 1536
26        },
27        "voyage-multilingual": {
28            "description": "Optimized for multilingual retrieval and RAG",
29            "inputTokens": 32000,
30            "inputTokenPrice": 0.12,
31            "dimensions": 1024
32        },
33        "voyage-finance-2": {
34            "description": "Optimized for finance retrieval and RAG.",
35            "inputTokens": 32000,
36            "inputTokenPrice": 0.12,
37            "dimensions": 1024
38        }
39    }
40}