Providers
Embedders
Turn text into vectors. Used by RAG + vector memory.
| Embedder | Import | Model examples |
|---|---|---|
| OpenAI | openaiEmbedder | text-embedding-3-small, ...-large |
| Gemini | geminiEmbedder | text-embedding-004 |
| Ollama | ollamaEmbedder | nomic-embed-text, mxbai-embed-large |
| DeepSeek | deepseekEmbedder | provider defaults |
| Grok | grokEmbedder | provider defaults |
| Kimi | kimiEmbedder | provider defaults |
| OpenAI-compatible | createOpenAICompatibleEmbedder | any /v1/embeddings endpoint |
#Contract
type Embedder = {
embed: (texts: string[]) => Promise<number[][]>
dim: number
}#Usage
import { openaiEmbedder } from '@agentskit/adapters'
const embed = openaiEmbedder({
apiKey: process.env.OPENAI_API_KEY!,
model: 'text-embedding-3-small',
})