Documentation
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Index ¶
Constants ¶
const ( // DefaultEmbeddingsEndpoint is the default AINative platform embeddings API endpoint DefaultEmbeddingsEndpoint = "https://api.ainative.io/api/v1/embeddings" // DefaultTimeout for embeddings requests DefaultTimeout = 30 * time.Second // MaxBatchSize is the maximum number of texts to embed in a single request MaxBatchSize = 100 )
Variables ¶
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Functions ¶
This section is empty.
Types ¶
type AINativeEmbeddingsClient ¶
type AINativeEmbeddingsClient struct {
// contains filtered or unexported fields
}
AINativeEmbeddingsClient provides access to AINative platform embeddings API This is the ONLY way to get embeddings - we do NOT use OpenAI embeddings endpoints
func NewAINativeEmbeddingsClient ¶
func NewAINativeEmbeddingsClient(config Config) (*AINativeEmbeddingsClient, error)
NewAINativeEmbeddingsClient creates a new AINative embeddings client
func (*AINativeEmbeddingsClient) Close ¶
func (c *AINativeEmbeddingsClient) Close() error
Close releases any resources held by the client
func (*AINativeEmbeddingsClient) Embed ¶
func (c *AINativeEmbeddingsClient) Embed(ctx context.Context, texts []string, model string) (*EmbeddingResult, error)
Embed generates embeddings for the given texts using AINative platform API This is the primary method for obtaining vector embeddings
type Config ¶
type Config struct {
APIKey string // Required: AINative API key
Endpoint string // Optional: Custom endpoint (defaults to DefaultEmbeddingsEndpoint)
HTTPClient *http.Client // Optional: Custom HTTP client
Logger logger.LoggerInterface // Optional: Logger for debugging
MaxRetries int // Optional: Max retry attempts (default: 3)
RetryDelay time.Duration // Optional: Delay between retries (default: 1s)
}
Config contains configuration for the AINative embeddings client
type EmbeddingAPIError ¶
EmbeddingAPIError represents an error from the embeddings API
func (*EmbeddingAPIError) Error ¶
func (e *EmbeddingAPIError) Error() string
func (*EmbeddingAPIError) IsAuthenticationError ¶
func (e *EmbeddingAPIError) IsAuthenticationError() bool
IsAuthenticationError returns true if the error is due to authentication failure
func (*EmbeddingAPIError) IsQuotaExceededError ¶
func (e *EmbeddingAPIError) IsQuotaExceededError() bool
IsQuotaExceededError returns true if the error is due to quota exhaustion
func (*EmbeddingAPIError) IsRateLimitError ¶
func (e *EmbeddingAPIError) IsRateLimitError() bool
IsRateLimitError returns true if the error is due to rate limiting
type EmbeddingResult ¶
type EmbeddingResult struct {
Embeddings [][]float32 // Vector embeddings (one per input text)
Model string // Model used for embedding
TotalTokens int // Total tokens processed
}
EmbeddingResult contains the results of an embedding operation
Source Files