barrel_embed_jina (barrel_embed v2.3.1)
View SourceJina AI embedding provider
Uses Jina AI's Embeddings API for embedding generation. Jina provides multilingual embeddings with 8K context length.
Requirements
A Jina AI API key, either: - Set via JINA_API_KEY environment variable - Passed in config as api_key => <<"...">>>
Configuration
Config = #{
api_key => <<"...">>, %% API key (or use env var)
url => <<"https://api.jina.ai/v1">>, %% API base URL (default)
model => <<"jina-embeddings-v3">>, %% Model name (default, 1024 dims)
timeout => 30000, %% Timeout in ms (default)
dimension => 1024 %% Vector dimension (default)
}.Supported Models
- <<"jina-embeddings-v3">> - Default, 1024 dims, 8K context, multilingual - <<"jina-embeddings-v2-base-en">> - 768 dims, English - <<"jina-embeddings-v2-base-de">> - 768 dims, German - <<"jina-embeddings-v2-base-es">> - 768 dims, Spanish - <<"jina-embeddings-v2-base-zh">> - 768 dims, Chinese - <<"jina-colbert-v2">> - 128 dims per token, late interaction - <<"jina-clip-v1">> - 768 dims, multimodal (text + images)
Summary
Functions
Check if Jina AI API is available.
Get dimension for this provider.
Generate embedding for a single text.
Generate embeddings for multiple texts. Jina AI supports native batch embedding.
Initialize the provider.
Provider name.
Functions
Check if Jina AI API is available.
-spec dimension(map()) -> pos_integer().
Get dimension for this provider.
Generate embedding for a single text.
Generate embeddings for multiple texts. Jina AI supports native batch embedding.
Initialize the provider.
-spec name() -> atom().
Provider name.