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56 lines
2.1 KiB
Plaintext
56 lines
2.1 KiB
Plaintext
---
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title: "StringJoiner"
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id: stringjoiner
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slug: "/stringjoiner"
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description: "Component to join strings from different components into a list of strings."
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---
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# StringJoiner
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Component to join strings from different components into a list of strings.
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<div className="key-value-table">
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| --- | --- |
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| **Most common position in a pipeline** | After at least two other components to join their strings |
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| **Mandatory run variables** | `strings`: Multiple strings from connected components. |
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| **Output variables** | `strings`: A list of merged strings |
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| **API reference** | [Joiners](/reference/joiners-api) |
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| **GitHub link** | https://github.com/deepset-ai/haystack/blob/main/haystack/components/joiners/string_joiner.py |
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| **Package name** | `haystack-ai` |
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</div>
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## Overview
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The `StringJoiner` component collects multiple string outputs from various pipeline components and combines them into a single list. This is useful when you need to merge several strings from different parts of a pipeline into a unified output.
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## Usage
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```python
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from haystack.components.joiners import StringJoiner
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from haystack.components.builders import PromptBuilder
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from haystack.core.pipeline import Pipeline
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string_1 = "What's Natural Language Processing?"
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string_2 = "What is life?"
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pipeline = Pipeline()
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pipeline.add_component("prompt_builder_1", PromptBuilder("Builder 1: {{query}}"))
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pipeline.add_component("prompt_builder_2", PromptBuilder("Builder 2: {{query}}"))
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pipeline.add_component("string_joiner", StringJoiner())
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pipeline.connect("prompt_builder_1.prompt", "string_joiner.strings")
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pipeline.connect("prompt_builder_2.prompt", "string_joiner.strings")
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result = pipeline.run(
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data={
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"prompt_builder_1": {"query": string_1},
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"prompt_builder_2": {"query": string_2},
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},
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)
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print(result)
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```
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