wehub-resource-sync
c56bef871b
Sync docs with Docusaurus / sync (push) Waiting to run
Tests / Check if changed (push) Waiting to run
Tests / format (push) Blocked by required conditions
Tests / check-imports (push) Blocked by required conditions
Tests / Unit / macos-latest (push) Blocked by required conditions
Tests / Unit / ubuntu-latest (push) Blocked by required conditions
Tests / Unit / windows-latest (push) Blocked by required conditions
Tests / mypy (push) Blocked by required conditions
Tests / Integration / ubuntu-latest (push) Blocked by required conditions
Tests / Integration / macos-latest (push) Blocked by required conditions
Tests / Integration / windows-latest (push) Blocked by required conditions
Tests / notify-slack-on-failure (push) Blocked by required conditions
Tests / Mark tests as completed (push) Blocked by required conditions
Docker image release / Build base image (push) Waiting to run
CodeQL / Analyze (python) (push) Has been cancelled
Update Platform Components Table / update (push) Has been cancelled
72 lines
2.9 KiB
Plaintext
72 lines
2.9 KiB
Plaintext
---
|
||
title: "AnswerJoiner"
|
||
id: answerjoiner
|
||
slug: "/answerjoiner"
|
||
description: "Merges multiple answers from different Generators into a single list."
|
||
---
|
||
|
||
# AnswerJoiner
|
||
|
||
Merges multiple answers from different Generators into a single list.
|
||
|
||
<div className="key-value-table">
|
||
|
||
| | |
|
||
| --- | --- |
|
||
| **Most common position in a pipeline** | In query pipelines, after [Generators](../generators.mdx) and, subsequently, components that return a list of answers such as [`AnswerBuilder`](../builders/answerbuilder.mdx) |
|
||
| **Mandatory run variables** | `answers`: A nested list of answers to be merged, received from the Generator. This input is `variadic`, meaning you can connect a variable number of components to it. |
|
||
| **Output variables** | `answers`: A merged list of answers |
|
||
| **API reference** | [Joiners](/reference/joiners-api) |
|
||
| **GitHub link** | https://github.com/deepset-ai/haystack/blob/main/haystack/components/joiners/answer_joiner.py |
|
||
|
||
</div>
|
||
|
||
## Overvew
|
||
|
||
`AnswerJoiner` joins input lists of [`Answer`](../../concepts/data-classes.mdx#answer) objects from multiple connections and returns them as one list.
|
||
|
||
You can optionally set the `top_k` parameter, which specifies the maximum number of answers to return. If you don’t set this parameter, the component returns all answers it receives.
|
||
|
||
## Usage
|
||
|
||
In this simple example pipeline, the `AnswerJoiner` merges answers from two instances of Generators:
|
||
|
||
```python
|
||
from haystack.components.builders import AnswerBuilder
|
||
from haystack.components.joiners import AnswerJoiner
|
||
|
||
from haystack.core.pipeline import Pipeline
|
||
|
||
from haystack.components.generators.chat import OpenAIChatGenerator
|
||
from haystack.dataclasses import ChatMessage
|
||
|
||
query = "What's Natural Language Processing?"
|
||
messages = [
|
||
ChatMessage.from_system(
|
||
"You are a helpful, respectful and honest assistant. Be super concise.",
|
||
),
|
||
ChatMessage.from_user(query),
|
||
]
|
||
|
||
pipe = Pipeline()
|
||
pipe.add_component("gpt-4o", OpenAIChatGenerator(model="gpt-4o"))
|
||
pipe.add_component("llama", OpenAIChatGenerator(model="gpt-3.5-turbo"))
|
||
pipe.add_component("aba", AnswerBuilder())
|
||
pipe.add_component("abb", AnswerBuilder())
|
||
pipe.add_component("joiner", AnswerJoiner())
|
||
|
||
pipe.connect("gpt-4o.replies", "aba")
|
||
pipe.connect("llama.replies", "abb")
|
||
pipe.connect("aba.answers", "joiner")
|
||
pipe.connect("abb.answers", "joiner")
|
||
|
||
results = pipe.run(
|
||
data={
|
||
"gpt-4o": {"messages": messages},
|
||
"llama": {"messages": messages},
|
||
"aba": {"query": query},
|
||
"abb": {"query": query},
|
||
},
|
||
)
|
||
```
|