Documentation
¶
Overview ¶
Package embedding provides vector embedding implementations for semantic search.
Index ¶
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
This section is empty.
Types ¶
type OpenAIConfig ¶
type OpenAIConfig struct {
APIKey string
Model string // default: "text-embedding-3-small"
Dimensions int // default: 1536 (model-dependent)
BaseURL string // default: "https://api.openai.com/v1"
Timeout time.Duration // default: 30s
}
OpenAIConfig configures the OpenAI embeddings client.
type OpenAIEmbedder ¶
type OpenAIEmbedder struct {
// contains filtered or unexported fields
}
OpenAIEmbedder implements memory.Embedder using the OpenAI embeddings API.
func NewOpenAIEmbedder ¶
func NewOpenAIEmbedder(cfg OpenAIConfig) *OpenAIEmbedder
NewOpenAIEmbedder creates an OpenAI embeddings client.
func (*OpenAIEmbedder) Dimensions ¶
func (e *OpenAIEmbedder) Dimensions() int
func (*OpenAIEmbedder) EmbedBatch ¶
func (*OpenAIEmbedder) Model ¶
func (e *OpenAIEmbedder) Model() string
Source Files
Click to show internal directories.
Click to hide internal directories.