Azure OpenAI citations with message correlation

题意:"Azure OpenAI 引用与消息关联"

问题背景:

I am trying out Azure OpenAI with my own data. The data is uploaded to Azure Blob Storage and indexed for use with Azure AI search

"我正在尝试使用自己的数据进行 Azure OpenAI。数据已上传到 Azure Blob 存储并为 Azure AI 搜索进行了索引。"

I do a call to the endpoint in the form of POST {endpoint}/openai/deployments/{deployment-id}/chat/completions?api-version={api-version}, as referenced here.

"我对端点进行了一次调用,形式为 `POST {endpoint}/openai/deployments/{deployment-id}/chat/completions?api-version={api-version}`,就像这里所引用的。"

However, in the response I cannot figure out how the choices[0]['message']['context']['citations'] field correspond to the choices[0]['message']['content'].

"然而,在响应中,我无法弄清楚 `choices[0]['message']['context']['citations']` 字段是如何与 `choices[0]['message']['content']` 对应的。"

For example, I can have a content as something like:

"例如,我的 `content` 可能是这样的:"

cs 复制代码
I have a pear [doc1][doc2]. I have an apple [doc1][doc3].

However, in my citations it looks like:

"然而,在我的 `citations` 中,它看起来像这样:"

cs 复制代码
citations[0].filepath == 'file1.pdf'
citations[1].filepath == 'file2.pdf'
citations[2].filepath == 'file1.pdf'
citations[3].filepath == 'file3.pdf'
citations[4].filepath == 'file4.pdf'

In summary, my question is whether if there is some sort of mapping from doc as shown in the message to the citations.filepath.

"总而言之,我的问题是是否存在一种映射,将消息中显示的 `doc` 与 `citations.filepath` 关联起来。"

问题解决:

Actually, it is not about the length of the citations; it is about how many times the file is referred.

"实际上,这与 `citations` 的长度无关,而是与文件被引用的次数有关。"

If you observe clearly, you can see 'file1.pdf' is referred twice, so mappings will be based on the first appearance and reuse of docs like below:

"如果你仔细观察,可以看到 `file1.pdf` 被引用了两次,因此映射将基于第一次出现和重用文档,如下所示:"

  • doc1 -> citations[0] (file1.pdf).
  • doc2 -> citations[1] (file2.pdf).
  • Reuse of doc1 -> Refers back to the first document (citations[2], file1.pdf).
  • doc3 -> citations[3] (file3.pdf).

Use the code below to get mappings and use it in the content.

"使用下面的代码来获取映射,并在内容中使用它。"

cs 复制代码
import re

def map_citations(content, citations):
    
    pattern = re.compile(r'\[doc(\d+)\]')
    segments = pattern.split(content)
    
    doc_numbers = []
    for segment in segments:
        if segment.isdigit():
            doc_numbers.append(int(segment))
    
    

    doc_to_file_map = {}
    for i, doc_num in enumerate(doc_numbers):
        doc_to_file_map[f'doc{doc_num}'] = citations[i]['filepath']

    print(doc_to_file_map)
    
    def replace_placeholder(match):
        doc_num = match.group(1)
        return f"[{doc_to_file_map[f'doc{doc_num}']}]"
    
    mapped_content = pattern.sub(replace_placeholder, content)
    
    return mapped_content

content = "I have a pear [doc1][doc2]. I have an apple [doc1][doc3]."
citations = [
    {'filepath': 'file1.pdf'},
    {'filepath': 'file2.pdf'},
    {'filepath': 'file1.pdf'},
    {'filepath': 'file3.pdf'},
    {'filepath': 'file4.pdf'}
]

mapped_content = map_citations(content, citations)
print(mapped_content)
相关推荐
Elastic 中国社区官方博客6 小时前
在 Elasticsearch 中使用 Mistral Chat completions 进行上下文工程
大数据·数据库·人工智能·elasticsearch·搜索引擎·ai·全文检索
是Yu欸11 小时前
【博资考5】网安2025
网络·人工智能·经验分享·笔记·网络安全·ai·博资考
寒秋丶12 小时前
Milvus:数据库层操作详解(二)
数据库·人工智能·python·ai·ai编程·milvus·向量数据库
机器之心12 小时前
英伟达发射了首个太空AI服务器,H100已上天
人工智能·openai
智哪儿13 小时前
让智能家居开口说话:米雪龙描绘AI硬件的下一个时代
ai·智能家居·agent
机器之心14 小时前
字节Seed团队发布循环语言模型Ouro,在预训练阶段直接「思考」,Bengio组参与
人工智能·openai
新智元14 小时前
AI 教父 Hinton 末日警告!你必须失业,AI 万亿泡沫豪赌才能「赢」
人工智能·openai
新智元14 小时前
CUDA 再见了!寒武纪亮出软件全家桶
人工智能·openai
寒秋丶16 小时前
Milvus:集合(Collections)操作详解(三)
数据库·人工智能·python·ai·ai编程·milvus·向量数据库
寒秋丶16 小时前
Milvus:Schema详解(四)
数据库·人工智能·python·ai·ai编程·milvus·向量数据库