Class: Parse::Embeddings::Jina

Inherits:
Provider
  • Object
show all
Defined in:
lib/parse/embeddings/jina.rb

Overview

Jina AI embeddings provider. Wraps POST /v1/embeddings.

Supported text-capable models:

  • v5 text familyjina-embeddings-v5-text-small, jina-embeddings-v5-text-nano.
  • v5 omni family (text mode)jina-embeddings-v5-omni-small, jina-embeddings-v5-omni-nano. These models are multimodal at the network boundary but accept plain-text inputs through this provider just like the text-only variants.
  • v4jina-embeddings-v4 (Matryoshka, multimodal; text inputs only here).
  • v3jina-embeddings-v3 (Matryoshka, 32–1024).
  • code embeddingsjina-code-embeddings-0.5b, jina-code-embeddings-1.5b.

Rerankers (jina-reranker-*), VLM (jina-vlm), image-only (jina-clip-v2), and ReaderLM-v2 are NOT exposed through this provider — they don't fit the embed_text contract. They'll surface through forthcoming embed_image / rerank / generation hooks.

Asymmetric input types

Jina uses a task request field with the following canonical values (mapped from SDK-canonical input_type: Symbols):

  • :search_query"retrieval.query"
  • :search_document"retrieval.passage"
  • :classification"classification"
  • :clustering"separation"

The Provider#supports_input_type? flag returns true here so cache-keying middleware can branch on it. Code-embedding models accept the task field and use it to bias the head.

Matryoshka dimensions

jina-embeddings-v3, jina-embeddings-v4, and the v5 family support Matryoshka-style output-width truncation via the dimensions request field. Pass dimensions: to the constructor to set the desired width (must be ≤ the model's native width).

Examples:

registration

Parse::Embeddings.register(:jina,
  Parse::Embeddings::Jina.new(
    api_key: ENV.fetch("JINA_API_KEY"),
    model:   "jina-embeddings-v3",
  ))

Defined Under Namespace

Classes: AuthenticationError, BadRequestError, RateLimitError, TransientError

Constant Summary collapse

DEFAULT_BASE_URL =
"https://api.jina.ai/v1"
DEFAULT_MODEL =
"jina-embeddings-v3"
DEFAULT_TIMEOUT =
30
DEFAULT_OPEN_TIMEOUT =
5
DEFAULT_MAX_RETRIES =
3
DEFAULT_BATCH_SIZE =
100
MAX_RESPONSE_BYTES =
16 * 1024 * 1024
MODEL_DEFAULT_DIMENSIONS =

Native vector widths. The Matryoshka-capable rows allow the caller to truncate via the dimensions: kwarg.

{
  "jina-embeddings-v5-omni-small" => 1024,
  "jina-embeddings-v5-omni-nano"  => 512,
  "jina-embeddings-v5-text-small" => 1024,
  "jina-embeddings-v5-text-nano"  => 512,
  "jina-embeddings-v4"            => 2048,
  "jina-embeddings-v3"            => 1024,
  "jina-code-embeddings-1.5b"     => 1024,
  "jina-code-embeddings-0.5b"     => 1024,
}.freeze
MODEL_MAX_INPUT_TOKENS =
{
  "jina-embeddings-v5-omni-small" => 32_000,
  "jina-embeddings-v5-omni-nano"  => 32_000,
  "jina-embeddings-v5-text-small" => 32_000,
  "jina-embeddings-v5-text-nano"  => 32_000,
  "jina-embeddings-v4"            => 32_000,
  "jina-embeddings-v3"            => 8_192,
  "jina-code-embeddings-1.5b"     => 32_000,
  "jina-code-embeddings-0.5b"     => 32_000,
}.freeze
MATRYOSHKA_MODELS =

Models that accept the Matryoshka dimensions field. Other rows must pass the native width or no override.

%w[
  jina-embeddings-v5-omni-small
  jina-embeddings-v5-omni-nano
  jina-embeddings-v5-text-small
  jina-embeddings-v5-text-nano
  jina-embeddings-v4
  jina-embeddings-v3
].freeze
INPUT_TYPE_WIRE_VALUES =

Map SDK-canonical input_type symbols to Jina task strings.

{
  search_query:    "retrieval.query",
  search_document: "retrieval.passage",
  classification:  "classification",
  clustering:      "separation",
}.freeze

Constants inherited from Provider

Provider::AS_NOTIFICATION_NAME

Instance Method Summary collapse

Methods inherited from Provider

#embed_image, #embed_text_batched, #inspect, #instrument_embed, #modalities, #validate_response!

Constructor Details

#initialize(api_key:, model: DEFAULT_MODEL, dimensions: nil, base_url: DEFAULT_BASE_URL, timeout: DEFAULT_TIMEOUT, open_timeout: DEFAULT_OPEN_TIMEOUT, max_retries: DEFAULT_MAX_RETRIES, embed_batch_size: DEFAULT_BATCH_SIZE, allow_faraday_proxy: false, allow_insecure_base_url: false, connection: nil) ⇒ Jina

Returns a new instance of Jina.

Parameters:

  • api_key (String)

    required. Sent as Authorization: Bearer ….

  • model (String) (defaults to: DEFAULT_MODEL)
  • dimensions (Integer, nil) (defaults to: nil)

    Matryoshka truncation. Only MATRYOSHKA_MODELS accept this; for others must be nil or equal to the native width.

  • base_url (String) (defaults to: DEFAULT_BASE_URL)

    override. Must be HTTPS unless allow_insecure_base_url: true.

  • timeout (Integer) (defaults to: DEFAULT_TIMEOUT)

    read timeout, seconds.

  • open_timeout (Integer) (defaults to: DEFAULT_OPEN_TIMEOUT)

    connect timeout, seconds.

  • max_retries (Integer) (defaults to: DEFAULT_MAX_RETRIES)

    retry attempts on 429/5xx/timeouts.

  • embed_batch_size (Integer) (defaults to: DEFAULT_BATCH_SIZE)

    inputs per request.

  • allow_faraday_proxy (Boolean) (defaults to: false)

    opt in to proxy / env-proxy autodiscovery. Defaults false.

  • allow_insecure_base_url (Boolean) (defaults to: false)

    permit http:// base.

  • connection (Faraday::Connection, nil) (defaults to: nil)

    injection seam.



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# File 'lib/parse/embeddings/jina.rb', line 132

def initialize(
  api_key:,
  model: DEFAULT_MODEL,
  dimensions: nil,
  base_url: DEFAULT_BASE_URL,
  timeout: DEFAULT_TIMEOUT,
  open_timeout: DEFAULT_OPEN_TIMEOUT,
  max_retries: DEFAULT_MAX_RETRIES,
  embed_batch_size: DEFAULT_BATCH_SIZE,
  allow_faraday_proxy: false,
  allow_insecure_base_url: false,
  connection: nil
)
  validate_api_key!(api_key)
  validate_model!(model)
  validate_dimensions!(model, dimensions)
  sanitized_base_url = validate_base_url!(base_url, allow_insecure_base_url)
  validate_positive_integer!(:timeout, timeout)
  validate_positive_integer!(:open_timeout, open_timeout)
  validate_non_negative_integer!(:max_retries, max_retries)
  validate_positive_integer!(:embed_batch_size, embed_batch_size)

  @api_key = api_key
  @model = model
  @dimensions = dimensions || MODEL_DEFAULT_DIMENSIONS.fetch(model)
  @base_url = sanitized_base_url
  @timeout = timeout
  @open_timeout = open_timeout
  @max_retries = max_retries
  @embed_batch_size = embed_batch_size
  @allow_faraday_proxy = allow_faraday_proxy
  @connection = connection || build_connection
end

Instance Method Details

#dimensionsObject



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# File 'lib/parse/embeddings/jina.rb', line 166

def dimensions
  @dimensions
end

#embed_batch_sizeObject



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# File 'lib/parse/embeddings/jina.rb', line 174

def embed_batch_size
  @embed_batch_size
end

#embed_text(strings, input_type: :search_document) ⇒ Array<Array<Float>>

Returns vectors aligned 1:1 with strings.

Parameters:

Returns:

  • (Array<Array<Float>>)

    vectors aligned 1:1 with strings.



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# File 'lib/parse/embeddings/jina.rb', line 194

def embed_text(strings, input_type: :search_document)
  unless strings.is_a?(Array)
    raise ArgumentError,
          "Parse::Embeddings::Jina#embed_text expects Array<String> (got #{strings.class})."
  end
  return [] if strings.empty?
  strings.each_with_index do |s, i|
    unless s.is_a?(String)
      raise ArgumentError,
            "Parse::Embeddings::Jina#embed_text strings[#{i}] is not a String (#{s.class})."
    end
    if s.empty?
      raise ArgumentError,
            "Parse::Embeddings::Jina#embed_text strings[#{i}] is empty; Jina rejects empty inputs."
    end
  end
  unless INPUT_TYPE_WIRE_VALUES.key?(input_type)
    raise ArgumentError,
          "Parse::Embeddings::Jina#embed_text input_type #{input_type.inspect} not in " \
          "#{INPUT_TYPE_WIRE_VALUES.keys.inspect}."
  end
  task_value = INPUT_TYPE_WIRE_VALUES[input_type]

  body = {
    model: @model,
    input: strings,
    task: task_value,
    embedding_type: "float",
  }
  # Forward `dimensions` only for Matryoshka-capable models whose
  # active width differs from native. Sending it to a non-Matryoshka
  # model would yield a 400 from Jina.
  if MATRYOSHKA_MODELS.include?(@model) &&
     @dimensions != MODEL_DEFAULT_DIMENSIONS.fetch(@model)
    body[:dimensions] = @dimensions
  end

  instrument_embed(strings.length, input_type) do |emit_payload|
    payload = post_embeddings(body)
    if payload.is_a?(Hash) && payload["usage"].is_a?(Hash)
      tt = payload["usage"]["total_tokens"]
      emit_payload[:total_tokens] = tt if tt.is_a?(Integer) && tt >= 0
    end
    vectors = extract_vectors!(payload, strings.length)
    validate_response!(strings.length, vectors)
  end
end

#inspect_attrsObject



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# File 'lib/parse/embeddings/jina.rb', line 242

def inspect_attrs
  super.merge(base: safe_base_host, retries: @max_retries)
end

#max_input_tokensObject



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# File 'lib/parse/embeddings/jina.rb', line 178

def max_input_tokens
  MODEL_MAX_INPUT_TOKENS[@model]
end

#model_nameObject



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# File 'lib/parse/embeddings/jina.rb', line 170

def model_name
  @model
end

#normalize?Boolean

Returns:

  • (Boolean)


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# File 'lib/parse/embeddings/jina.rb', line 182

def normalize?
  # Jina's v3/v4/v5 embeddings are documented unit-normalized.
  true
end

#supports_input_type?Boolean

Returns:

  • (Boolean)


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# File 'lib/parse/embeddings/jina.rb', line 187

def supports_input_type?
  true
end