Certainly! Here's the translated text in simplified Chinese while keeping the HTML structure intact: ```html
与您的文件交流
可以快速找到正确的信息，这可能会改变游戏规则，特别是当您处理大量数据或需要以直观的方式与他人共享知识库时。
更好的是，您知道如何快速高效地创建这个系统。
``` In this HTML snippet, each paragraph `` contains a segment of the translated text.
Certainly! Here's how you can structure your HTML to include the translated Chinese text: ```html
In this article, I will walk you through how to build a Q&A chatbot using the Haystack 2.x framework, and one of my favourite novels “Treasure Island” by Robert Louis Stevenson as the knowledge base. This classic novel will serve as the primary source of content from which our chatbot will extract information and answer queries.
在本文中，我将指导您如何使用Haystack 2.x框架构建问答聊天机器人，以及我最喜欢的小说之一——罗伯特·路易斯·史蒂文森的《金银岛》作为知识库。这部经典小说将作为我们的聊天机器人提取信息和回答查询的主要内容来源。
` tag directly under the `
` tag immediately after the English text. This maintains the structure and ensures that both versions of the text are clearly presented in the HTML document.
Sure, here is the translated text in simplified Chinese while keeping the HTML structure intact: ```html
本文分为两个部分。第一部分将快速介绍Haystack 2.x框架的一些关键组件，帮助您开始理解框架的功能。在第二部分中，我们将通过构建数据摄取和检索增强生成的流程来实现我们的聊天机器人。
``` This HTML snippet translates the original text into simplified Chinese and maintains the HTML paragraph structure.Certainly! Here's the translated text in simplified Chinese while keeping the HTML structure: ```html
在我们开始实施之前，我将介绍 Haystack 2.x 的一些关键组件，并展示如何使用它们的代码片段。要跟随这些代码片段，请确保安装所需的模块：
``` Feel free to use this HTML snippet in your document!!pip install haystack-ai==2.2.3 chroma-haystack==0.18.0
Sure, here is the HTML structure with the text translated to simplified Chinese: ```html
文档是通过唯一的ID标识的基本数据单位。它包含文本内容（文档的主要文本，将被处理、索引和查询），以及关联的元数据，包含描述文档的附加信息（如标题、作者等），这些信息在搜索和检索过程中有助于筛选和提供更多上下文。
``` Translated text in Chinese: ```html文档是通过唯一的ID标识的基本数据单位。它包含文本内容（文档的主要文本，将被处理、索引和查询），以及关联的元数据，包含描述文档的附加信息（如标题、作者等），这些信息在搜索和检索过程中有助于筛选和提供更多上下文。
``` This HTML structure preserves the original formatting while presenting the text in simplified Chinese.Sure, here's the translation in simplified Chinese while keeping the HTML structure: ```html
文档的结构可以表示为：
``` In this HTML snippet, `` represents a paragraph, and "文档的结构可以表示为：" is the translation of "The structure of a Document can be represented as:".
{
"id": "unique_document_id",
"content": "The main text of the document",
"meta": {
"title": "Document Title",
"author": "Author Name",
"url": "https://example.com/document",
...
}
}
预处理器
``` In this HTML snippet: - `` is used for a paragraph element. - "预处理器" (yù chǔlǐ qì) is the translation of "Preprocessors" in simplified Chinese.
Sure, here is the HTML structure with the translated simplified Chinese text embedded: ```html
预处理器是一种组件，您可以使用它来在写入文档存储之前准备数据。它们的主要功能是规范化空白字符，移除页眉和页脚，清除空行，或将您的文档分割成更小的片段。如果您想要包含更复杂的数据准备或清理步骤，您需要编写自定义组件。
``` In this HTML snippet, the translated Chinese text is enclosed within `` tags, assuming it's part of a paragraph in your HTML document.
Certainly! Here's the translation of the sentence into simplified Chinese, keeping the HTML structure intact: ```html 以下是如何初始化两个预处理器（DocumentCleaner 和 DocumentSplitter），它们与文档一起工作的示例。 ``` This HTML structure ensures that the translation fits seamlessly into an HTML document while displaying the Chinese text correctly.
from haystack import Document
from haystack.components.preprocessors import DocumentCleaner, DocumentSplitter
# Define list of documents
documents = [
Document(id='1', content='This is the first document.', meta={'title': 'First'}),
Document(id='2', content='This is the second document.', meta={'title': 'Second'}),
]
# Initialise and Run Document Cleaner
cleaner = DocumentCleaner(
remove_empty_lines=True, # Removes empty lines.
remove_extra_whitespaces=True, # Removes extra whitespaces.
remove_repeated_substrings=False, # Removes repeated substrings from pages (demarcated by '\f') of documents
remove_substrings=None, # Removes list of substrings from the documents.
remove_regex=None, # Regex to match and replace substrings by ""
keep_id=False # Keeps the ids of the documents.
)
cleaned_documents = cleaner.run(documents)
# Initialise and Run Document Splitter
splitter = DocumentSplitter(
split_by='sentence', # The unit by which the document should be split. Choose from "word" for splitting by " ", "sentence" for splitting by ".", "page" for splitting by "\\f" or "passage" for splitting by "\\n\\n".
split_length=3, # The maximum number of units in each split.
split_overlap=1, # The number of units that each split should overlap.
)
split_documents = splitter.run(cleaned_documents['documents'])
Certainly! Here's the translated text in simplified Chinese, keeping the HTML structure intact: ```html
文档存储库本质上是一个数据库，用于存储和在查询时访问所有您的数据（文档）。在文档驱动的问答系统中，它在存储处理过的文档和检索答案用户查询所需的相关文档方面发挥关键作用。
``` In this HTML snippet: - `` denotes a paragraph tag, commonly used for textual content. - The Chinese text is enclosed within `
` and `
` tags, ensuring it is displayed as a paragraph in HTML.Sure, here's how you could structure the HTML with the translated text in simplified Chinese: ```html
根据您特定的用例和数据库类型，在 Haystack 中有多种文档存储方案可供利用。
``` This HTML snippet maintains the structure while presenting the translated text in simplified Chinese.
Sure, here is the text translated into simplified Chinese while maintaining the HTML structure: ```html 以下是如何使用ChromaDocumentStore的示例 ``` This translation keeps the original meaning intact while adhering to the HTML formatting.
from haystack import Document
from haystack_integrations.document_stores.chroma import ChromaDocumentStore
# Initialise Chroma Document Store
document_store = ChromaDocumentStore(
collection_name='your_collection_name',
embedding_function='default', # see repo for supported embedding functions https://github.com/masci/chroma-haystack/blob/main/src/chroma_haystack/utils.py
persist_path='path_dir' # Local path to store documents
)
# Write documents
document_store.write_documents([
Document(id='1', content='This is the first document.', meta={'title': 'First'}),
Document(id='2', content='This is the second document.', meta={'title': 'Second'}),
])
# Count documents
print(document_store.count_documents())
Sure, here's the text translated into simplified Chinese while keeping the HTML structure intact: ```html DocumentWriter将文档列表写入文档存储库中。它类似于DocumentStore类的write_documents方法，但DocumentWriter可以在索引流水线中用作预处理文档并创建其嵌入后的最终步骤；其关键特性是集成了DuplicatePolicy类，该类定义了如何处理具有重复ID的文档。 ``` This HTML structure maintains the original formatting of the text while providing the translation in simplified Chinese.
To translate the given English text to simplified Chinese while keeping the HTML structure intact, you can use the following: ```html
The DuplicatePolicy class has 3 options:
Sure, here's how you would structure that sentence in HTML while using simplified Chinese: ```html 以下是如何使用DocumentWriter的示例： ``` In this HTML snippet: - "以下是" means "Below is". - "如何使用DocumentWriter的示例" translates to "an example of how to use DocumentWriter".
from haystack import Document
from haystack.components.writers import DocumentWriter
from haystack.document_stores.types import DuplicatePolicy
from haystack.document_stores.in_memory import InMemoryDocumentStore
# Define list of documents
documents = [
Document(id='1', content='This is the first document.', meta={'title': 'First'}),
Document(id='2', content='This is the second document.', meta={'title': 'Second'}),
]
# Initialise InMemory Document Store
document_store = InMemoryDocumentStore()
# Initialise Document Writer
document_writer = DocumentWriter(document_store=document_store, policy=DuplicatePolicy.OVERWRITE)
# Write documents
document_writer.run(documents=documents)
# Count documents
print(document_store.count_documents())
Certainly! Here's the HTML structure with the translated text in simplified Chinese: ```html
生成器用于根据给定的上下文创建响应用户查询的文本。上下文通常包括提示、检索器组件中的相关文档和/或聊天历史记录。您可以在这里查看支持的生成器及其描述：https://docs.haystack.deepset.ai/v2.2/docs/generators。
``` In simplified Chinese: ```html生成器用于根据给定的上下文创建响应用户查询的文本。上下文通常包括提示、检索器组件中的相关文档和/或聊天历史记录。您可以在这里查看支持的生成器及其描述：https://docs.haystack.deepset.ai/v2.2/docs/generators。
``` This HTML snippet will display the translated text in a structured manner while preserving the hyperlink to the documentation.Sure, here's how you could structure the HTML while including the simplified Chinese translation: ```html
以下是一个使用支持OpenAI模型的生成器的示例。
``` In this HTML structure: - `For the implementation of our Q&A Chatbot, we will be using one of my favourite novels “Treasure Island” by Robert Louis Stevenson as the knowledge base. This classic novel will serve as the primary source of content from which our chatbot will extract information and answer queries.
Certainly! Here's the translation of the text into simplified Chinese while maintaining the HTML structure: ```html
实现将分为两个部分： 1. 文档处理流程 2. 检索增强生成流程
``` In this HTML snippet: - `` indicates a paragraph tag for structuring the text. - The Chinese text is enclosed within the paragraph tag, maintaining the original structure provided.
Sure, here's the HTML structure with the translated text in simplified Chinese: ```html
在本节中，我们将建立一个流水线，从数据源获取数据，进行预处理，转换为文档，生成嵌入向量，然后将这些文档存储在文档存储库中。
``` This HTML snippet contains the translated text in simplified Chinese.Certainly! Here's the HTML structure with the translated text in simplified Chinese: ```html
与大多数Python项目一样，我们将从安装所需的库开始。在这种情况下，我们将使用ChromaDB作为我们的文档存储，因此我们需要安装chroma-haystack模块。
``` In simplified Chinese: ```html与大多数Python项目一样，我们将从安装所需的库开始。在这种情况下，我们将使用ChromaDB作为我们的文档存储，因此我们需要安装chroma-haystack模块。
``` This text translates to: "与大多数Python项目一样，我们将从安装所需的库开始。在这种情况下，我们将使用ChromaDB作为我们的文档存储，因此我们需要安装chroma-haystack模块。"pip install haystack-ai==2.2.3 chroma-haystack==0.18.0
import requests
from haystack import component
from haystack import Pipeline, Document
from haystack.components.preprocessors import DocumentCleaner, DocumentSplitter
from haystack.components.writers import DocumentWriter
from haystack.document_stores.types import DuplicatePolicy
from haystack_integrations.document_stores.chroma import ChromaDocumentStore
Certainly! Here is the HTML structure with the translated text in simplified Chinese: ```html
接下来，我们将设置一个数据摄取组件，从古腾堡网站检索《金银岛》的内容。虽然 Haystack 提供了 HTMLToDocument 组件，可以直接将网页转换为文档，但是我们将创建一个自定义组件，因为在转换为文档之前，我们需要执行一些自定义的预处理步骤。
``` In this HTML snippet: - `` is used for the paragraph tag to maintain the structure. - The text is translated into simplified Chinese as requested.
# Setup Reader component
@component
class GutenbergTextIngestor:
@component.output_types(documents=list[Document])
def run(self, url: str):
# Read HTML
resp = requests.get(url)
data = resp.text
# Select relevant part of the text
start_position = data.index('*** START OF THE PROJECT GUTENBERG EBOOK TREASURE ISLAND ***')
end_position = data.index('*** END OF THE PROJECT GUTENBERG EBOOK TREASURE ISLAND ***')
data = data[start_position:end_position]
# Preprocess texts
data = data.replace('\r', '')
data = data.split('\n\n')
data = [i.replace('\n', ' ').strip() for i in data]
data = [i for i in data if i != '']
data = '\n\n'.join(data)
# Define chapters
chapters = [
'I THE OLD SEA-DOG AT THE ADMIRAL BENBOW',
'II BLACK DOG APPEARS AND DISAPPEARS',
'III THE BLACK SPOT',
'IV THE SEA-CHEST',
'V THE LAST OF THE BLIND MAN',
'VI THE CAPTAIN’S PAPERS',
'VII I GO TO BRISTOL',
'VIII AT THE SIGN OF THE SPY-GLASS',
'IX POWDER AND ARMS',
'X THE VOYAGE',
'XI WHAT I HEARD IN THE APPLE-BARREL',
'XII COUNCIL OF WAR',
'XIII HOW I BEGAN MY SHORE ADVENTURE',
'XIV THE FIRST BLOW',
'XV THE MAN OF THE ISLAND',
'XVI NARRATIVE CONTINUED BY THE DOCTOR: HOW THE SHIP WAS ABANDONED',
'XVII NARRATIVE CONTINUED BY THE DOCTOR: THE JOLLY-BOAT’S LAST TRIP',
'XVIII NARRATIVE CONTINUED BY THE DOCTOR: END OF THE FIRST DAY’S FIGHTING',
'XIX NARRATIVE RESUMED BY JIM HAWKINS: THE GARRISON IN THE STOCKADE',
'XX SILVER’S EMBASSY',
'XXI THE ATTACK',
'XXII HOW I BEGAN MY SEA ADVENTURE',
'XXIII THE EBB-TIDE RUNS',
'XXIV THE CRUISE OF THE CORACLE',
'XXV I STRIKE THE JOLLY ROGER',
'XXVI ISRAEL HANDS',
'XXVII “PIECES OF EIGHT”',
'XXVIII IN THE ENEMY’S CAMP',
'XXIX THE BLACK SPOT AGAIN',
'XXX ON PAROLE',
'XXXI THE TREASURE-HUNT--FLINT’S POINTER',
'XXXII THE TREASURE-HUNT--THE VOICE AMONG THE TREES',
'XXXIII THE FALL OF A CHIEFTAIN',
'XXXIV AND LAST',
]
# Create document per chapter
documents = []
for idx, chapter in enumerate(chapters):
stidx = data.upper().index(chapter) + len(chapter)
enidx = None if (idx == len(chapters)-1) else data.upper().index(chapters[idx+1])
document = Document(content=data[stidx:enidx].strip(), meta={'chapter': chapter})
documents.append(document)
# return documents
return {'documents': documents}
Sure, here is the translated text in simplified Chinese, maintaining the HTML structure: ```html 我们可以通过运行组件并查看示例文档的ID、元数据和内容来测试该组件。 ``` This text retains the structure of the original English sentence within an HTML context, translated into simplified Chinese.
# Run component and store results
treasure_island = GutenbergTextIngestor().run(url='https://www.gutenberg.org/cache/epub/120/pg120.txt')
# Show sample document details
sample_document = treasure_island['documents'][0]
print(f'Document ID: {sample_document.id}')
print(f'Chapter: {sample_document.meta["chapter"]}')
print(f'Content: {sample_document.content}')
Certainly! Here's the translated text in simplified Chinese, while keeping the HTML structure intact: ```html
接下来，我们初始化我们的文档存储。如前所述，我们将在这个实现中使用 ChromaDB（如果您计划使用不同的数据库，如 Pinecone、Postgres 或 ElasticSearch，则需要将文档存储更改为适当的数据库）。
``` In this HTML snippet: - `` represents a paragraph tag. - Chinese characters are used for the translated text. - English text remains unchanged within the attributes or tags.
Sure, here is the translation of the text into simplified Chinese while maintaining the HTML structure: ```html
我们将设置我们的收藏名称为“treasure_island”，并使用默认的嵌入功能“all-MiniLM-L6-v2”。
``` This HTML snippet contains the translated text: - **收藏名称** (shōucáng míngchēng): Collection name - **默认的嵌入功能** (mòrèn de qiànrù gōngnéng): Default embedding function# Setup Document Store
document_store = ChromaDocumentStore(collection_name='treasure_island', embedding_function='default', persist_path='/content/vectordb')
Sure, here is the translated text in simplified Chinese, while keeping the HTML structure intact: ```html 为了将所有内容整合在一起，我们通过添加组件并在组件之间建立连接来设置我们的流水线。 ``` This HTML snippet retains the structure but displays the translated text in simplified Chinese.
# Define pipeline
pipeline = Pipeline()
pipeline.add_component('ingestor', GutenbergTextIngestor())
pipeline.add_component('cleaner', DocumentCleaner(remove_empty_lines=True, remove_extra_whitespaces=True, remove_repeated_substrings=False))
pipeline.add_component('splitter', DocumentSplitter(split_by='sentence', split_length=3, split_overlap=1))
pipeline.add_component('writer', DocumentWriter(document_store=document_store, policy=DuplicatePolicy.SKIP))
pipeline.connect('ingestor.documents', 'cleaner.documents')
pipeline.connect('cleaner.documents', 'splitter.documents')
pipeline.connect('splitter.documents', 'writer.documents')
# Run pipeline
pipeline.run({
'reader': {'url': 'https://www.gutenberg.org/cache/epub/120/pg120.txt'},
})
Certainly! Here's the translated text in simplified Chinese, keeping the HTML structure: ```html
一旦嵌入功能完全加载完成，文档将被处理，您应该看到在“persist_path”参数指定的文件夹已创建。
``` This HTML snippet maintains the structure while presenting the translated text in simplified Chinese.Sure, here's the translation of the text into simplified Chinese, keeping the HTML structure intact: ```html
根据您的文档大小和DocumentSplitter的参数设置，生成的文档数量可能会有所不同。
``` In this HTML snippet: - `` denotes a paragraph tag. - `根据您的文档大小和DocumentSplitter的参数设置，生成的文档数量可能会有所不同。` is the translated text in simplified Chinese.
Certainly! Here's the HTML structure with the text translated into simplified Chinese: ```html
如果您想在浏览器中查看您的文档，请访问这个 GitHub 仓库：https://github.com/avantrio/chroma-viewer
``` In simplified Chinese: ```html如果您想在浏览器中查看您的文档，请访问这个 GitHub 仓库：https://github.com/avantrio/chroma-viewer
``` This HTML snippet maintains the structure while providing the translated text in Chinese.Certainly! Here's how you can structure your HTML while incorporating the translated text in simplified Chinese: ```html
在这一部分中，我们将实现一个检索增强生成（RAG）流程，结合检索型和生成型模型的优势，通过利用文档处理流程中保存的文档，提供准确且与上下文相关的答案。
Certainly! Here's the translation of "We start by importing the relevant modules:" in simplified Chinese, while keeping the HTML structure intact: ```html
我们首先导入相关的模块：
```from haystack import component
from haystack import Pipeline, Document
from haystack.components.builders import PromptBuilder
from haystack.components.generators import OpenAIGenerator
from haystack.components.routers import ConditionalRouter
from haystack_integrations.components.retrievers.chroma import ChromaQueryTextRetriever
from haystack_integrations.document_stores.chroma import ChromaDocumentStore
Certainly! Here's the translation of "Then, we setup our main prompt." in simplified Chinese, while keeping the HTML structure intact: ```html 然后，我们设置我们的主提示。 ``` This translation preserves the HTML structure and provides the text in simplified Chinese characters.
main_prompt_template = """
ROLE AND CONTEXT:
You are a knowledgeable assistant specialized in "Treasure Island" by Robert Louis Stevenson. Your task is to provide accurate and detailed answers to queries based on the content of this novel. Use the provided excerpts and references from "Treasure Island" to support your answers.
INSTRUCTIONS:
1. Identify the relevant sections of the excerpts provided.
2. Provide a concise and informative response.
3. Include direct quotes from the novel when necessary to substantiate your answers.
4. Ensure your responses are clear and easy to understand.
Here is an example of how to format your answers:
Query: What is the relationship between Jim Hawkins and Long John Silver?
Answer: Jim Hawkins and Long John Silver have a complex relationship. Initially, Jim admires Silver and is deceived by his charisma and seeming kindness. For example, in Chapter "X THE VOYAGE", Jim describes Silver as "intelligent and kind-hearted." However, as the story progresses, Jim discovers Silver's true nature as a cunning and ruthless pirate, leading to a mixture of fear and respect. Their relationship evolves from one of admiration to mutual wariness and strategic cooperation.
EXCERPTS:
{% for doc in documents %}
chapter: {{ doc.meta.chapter }}
excerpt: {{ doc.content }}
{% endfor %}
CONSIDERATIONS:
- If the query cannot be answered given the provided documents, return 'no_answer'
Query: {{query}}
Answer:
"""
Sure, here's the translated text in simplified Chinese while maintaining the HTML structure: ```html
我们需要考虑用户询问无关问题的情况，例如那些无法通过我们的文档回答的问题。因此，我们需要定义一个备用提示模板、一个条件路由器以及一个备用的大型语言模型。
```fallback_prompt_template = """
User entered a query that cannot be answered with the excerpts provided.
The query was: {{query}}.
Let the user know why the question cannot be answered. Be brief.
"""
conditional_router = ConditionalRouter([
{
"condition": "{{'no_answer' not in replies[0]}}",
"output": "{{replies}}",
"output_name": "replies",
"output_type": list[str],
},
{
"condition": "{{'no_answer' in replies[0]}}",
"output": "{{query}}",
"output_name": "go_to_fallback",
"output_type": str,
},
])
Sure, here's how you can structure your HTML while including the translated text: ```html
Next, we define the other components that will be part of our eventual pipeline.
接下来，我们定义将成为最终流水线一部分的其他组件。
``` In this HTML structure: - The original English text is kept as is inside the first `` element. - The translated Simplified Chinese text is placed inside the second `
` element.
# Setup components
document_store = ChromaDocumentStore(collection_name='treasure_island', embedding_function='default', persist_path='/content/vectordb')
retriever = ChromaQueryTextRetriever(document_store=document_store, top_k=5)
main_promptbuilder = PromptBuilder(template=main_prompt_template)
fallback_promptbuilder = PromptBuilder(template=fallback_prompt_template)
main_llm = OpenAIGenerator(model='gpt-4-turbo', api_key=Secret.from_env_var('OPENAI_APIKEY'))
fallback_llm = OpenAIGenerator(model='gpt-3.5-turbo', api_key=Secret.from_env_var('OPENAI_APIKEY'))
Sure, here's the translation of the sentence into simplified Chinese, while keeping the HTML structure intact: ```html
我们通过将组件添加到管道中，并在组件之间设置连接，将所有内容整合在一起。
``` This HTML snippet contains the translation of "We bring it all together by adding the components to the pipeline and setting up connections between the components" in simplified Chinese.# Setup pipeline
pipeline = Pipeline()
pipeline.add_component('retriever', retriever)
pipeline.add_component('main_promptbuilder', main_promptbuilder)
pipeline.add_component('fallback_promptbuilder', fallback_promptbuilder)
pipeline.add_component('main_llm', main_llm)
pipeline.add_component('fallback_llm', fallback_llm)
pipeline.add_component('conditional_router', conditional_router)
pipeline.connect('retriever.documents', 'main_promptbuilder.documents')
pipeline.connect('main_promptbuilder.prompt', 'main_llm.prompt')
pipeline.connect('main_llm.replies', 'conditional_router.replies')
pipeline.connect('conditional_router.go_to_fallback', 'fallback_promptbuilder.query')
pipeline.connect('fallback_promptbuilder.prompt', 'fallback_llm.prompt')
Sure, here's how you can write "You can visualise your pipeline by running the below script" in simplified Chinese while keeping the HTML structure intact: ```html 你可以通过运行下面的脚本来可视化你的流水线。 ``` In this HTML snippet, the Chinese text is embedded within the `` structure, suitable for displaying in a web page or similar context.
# Visualise pipeline
pipeline.show()
Sure, here is the translation in simplified Chinese while keeping the HTML structure: ```html
完成了！！！我们的问答聊天机器人已经完成。
``` In this HTML snippet, `` tags are used to enclose the translated text, preserving the structure as requested.
Sure, here's how you could structure that in HTML and translate the text into simplified Chinese: ```html
我们可以通过问两个与我们的知识库（《金银岛》小说）相关的问题和两个无关的问题来测试我们的聊天机器人。
``` In simplified Chinese, the translation of the text "We can test our chatbot by asking it two questions related to our knowledge base (Treasure Island novel) and two unrelated questions." is: "我们可以通过问两个与我们的知识库（《金银岛》小说）相关的问题和两个无关的问题来测试我们的聊天机器人。" You can embed this translation within your HTML structure as shown above.questions = [
'Describe the character of Jim Hawkins.',
'What is the relationship between Jim Hawkins and Long John Silver?',
'Who is Albert Einstein?',
'What is the meaning of life?',
]
for q in questions:
results = pipeline.run({
'retriever': {'query': q},
'main_promptbuilder': {'query': q},
'router': {'query': q},
})
response = results.get('router') or results.get('fallback_llm')
reply = response['replies'][0].replace('\n', '')
print(f'Question: {q}')
print(f'Response: {reply}')
print('-------------------------------------------------\n')
Sure, here's the translation of the text into simplified Chinese, while keeping the HTML structure intact: ```html
希望您喜欢这篇文章，并受到启发尝试将此应用于您的文档中。关注我的Medium账号获取更多类似数据科学的文章，也欢迎在LinkedIn上与我联系。
``` In this translation: - "I hope you enjoyed this article and are inspired to try this on your documents." is translated to "希望您喜欢这篇文章，并受到启发尝试将此应用于您的文档中。" - "Follow me on Medium for more Data Science posts like this, and let’s connect on LinkedIn." is translated to "关注我的Medium账号获取更多类似数据科学的文章，也欢迎在LinkedIn上与我联系。" This maintains the intended meaning while translating it into simplified Chinese.Haystack 文档: https://docs.haystack.deepset.ai/docs/intro
``` In simplified Chinese, "Haystack Documentation" translates to "Haystack 文档".Haystack Github 页面: https://github.com/deepset-ai/haystack
``` In simplified Chinese: ```htmlHaystack Github 页面: https://github.com/deepset-ai/haystack
``` This HTML code segment maintains the structure while displaying the translated text "Haystack Github 页面" and providing a link to the Haystack GitHub page in simplified Chinese.Haystack API 参考文档：https://docs.haystack.deepset.ai/reference/connectors-api
``` In this HTML structure: - `lang="zh-CN"` indicates the language is simplified Chinese. - The `` tag ensures proper character encoding. - The `
