OpenAI Embedding V3 Large
OpenAI’s text embeddings measure the relatedness of text strings. Embeddings are commonly used for: - Search (where results are ranked by relevance to a query string) - Clustering (where text strings are grouped by similarity) - Recommendations (where items with related text strings are recommended) - Anomaly detection (where outliers with little relatedness are identified) - Diversity…
72 subscribers
9.2/10 popularity
9054 ms avg latency
96% success rate
1 endpoints
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OpenAI Embedding V3 Large endpoints
| Method | Endpoint | Description |
|---|---|---|
| POST |
Create Embeddings /embeddings |
Creates an embedding vector representing the input text. |
OpenAI Embedding V3 Large pricing
| Plan | Price | Rate limit | Quotas |
|---|---|---|---|
| BASIC | Free | — |
|
| PRO | $1 / month | — |
|
| ULTRA | $5 / month | — |
|
| MEGA | $25 / month | — |
|
