STACKITTextEmbedder

A component for embedding strings using STACKIT as model provider.

Basic Information

• Type: haystack_integrations.components.embedders.stackit.text_embedder.STACKITTextEmbedder

Inputs

Parameter	Type	Default	Description

Outputs

Parameter	Type	Default	Description

Overview

Work in Progress

Bear with us while we're working on adding pipeline examples and most common components connections.

A component for embedding strings using STACKIT as model provider.

Usage example:

from haystack_integrations.components.embedders.stackit import STACKITTextEmbedder

text_to_embed = "I love pizza!"
text_embedder = STACKITTextEmbedder()
print(text_embedder.run(text_to_embed))

Usage Example

components:
  STACKITTextEmbedder:
    type: stackit.src.haystack_integrations.components.embedders.stackit.text_embedder.STACKITTextEmbedder
    init_parameters:

Parameters

Init Parameters

These are the parameters you can configure in Pipeline Builder:

Parameter	Type	Default	Description
api_key	Secret	Secret.from_env_var('STACKIT_API_KEY')	The STACKIT API key.
model	str		The name of the STACKIT embedding model to be used.
api_base_url	Optional[str]	https://api.openai-compat.model-serving.eu01.onstackit.cloud/v1	The STACKIT API Base url. For more details, see STACKIT docs.
prefix	str		A string to add to the beginning of each text.
suffix	str		A string to add to the end of each text.
timeout	Optional[float]	None	Timeout for STACKIT client calls. If not set, it defaults to either the OPENAI_TIMEOUT environment variable, or 30 seconds.
max_retries	Optional[int]	None	Maximum number of retries to contact STACKIT after an internal error. If not set, it defaults to either the OPENAI_MAX_RETRIES environment variable, or set to 5.
http_client_kwargs	Optional[Dict[str, Any]]	None	A dictionary of keyword arguments to configure a custom httpx.Clientor httpx.AsyncClient. For more information, see the HTTPX documentation.

Run Method Parameters

These are the parameters you can configure for the component's run() method. This means you can pass these parameters at query time through the API, in Playground, or when running a job. For details, see Modify Pipeline Parameters at Query Time.

Parameter	Type	Default	Description