Mbox Reader¶

如果您在 colab 上打开此 Notebook，您可能需要安装 LlamaIndex 🦙。

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%pip install llama-index-readers-mbox

%pip install llama-index-readers-mbox

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!pip install llama-index

!pip install llama-index

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%env OPENAI_API_KEY=sk-************

%env OPENAI_API_KEY=sk-************

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from llama_index.readers.mbox import MboxReader
from llama_index.core import VectorStoreIndex

from llama_index.readers.mbox import MboxReader from llama_index.core import VectorStoreIndex

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documents = MboxReader().load_data(
    "mbox_data_dir", max_count=1000
)  # Returns list of documents

documents = MboxReader().load_data( "mbox_data_dir", max_count=1000 ) # 返回文档列表

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index = VectorStoreIndex.from_documents(
    documents
)  # Initialize index with documents

index = VectorStoreIndex.from_documents( documents ) # 使用文档初始化索引

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query_engine = index.as_query_engine()
res = query_engine.query("When did i have that call with the London office?")

query_engine = index.as_query_engine() res = query_engine.query("When did i have that call with the London office?")

> [query] Total LLM token usage: 100 tokens
> [query] Total embedding token usage: 10 tokens

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res.response

res.response

> There is a call scheduled with the London office at 12am GMT on the 10th of February.