Notebook

Ollama Llama包示例¶

设置数据¶

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!wget "https://www.dropbox.com/s/f6bmb19xdg0xedm/paul_graham_essay.txt?dl=1" -O paul_graham_essay.txt

--2023-12-06 10:57:29--  https://www.dropbox.com/s/f6bmb19xdg0xedm/paul_graham_essay.txt?dl=1
Resolving www.dropbox.com (www.dropbox.com)... 2620:100:6057:18::a27d:d12, 162.125.13.18
Connecting to www.dropbox.com (www.dropbox.com)|2620:100:6057:18::a27d:d12|:443... connected.
HTTP request sent, awaiting response... 302 Found
Location: /s/dl/f6bmb19xdg0xedm/paul_graham_essay.txt [following]
--2023-12-06 10:57:29--  https://www.dropbox.com/s/dl/f6bmb19xdg0xedm/paul_graham_essay.txt
Reusing existing connection to [www.dropbox.com]:443.
HTTP request sent, awaiting response... 302 Found
Location: https://uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com/cd/0/get/CI6sL69BcU1vwbM-TAz-tGmRw4WlbgfQuJZeNXywf2hq34Y0hCCL--A7gVBWo6T3igijCNDkLGnPwDiugV9pIEtnFODeIcET5PwUgToHl2-1P77MqJy2okrGt6CmC5bxwI5OPEV4MGsUNvSHP34FLMWZ/file?dl=1# [following]
--2023-12-06 10:57:30--  https://uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com/cd/0/get/CI6sL69BcU1vwbM-TAz-tGmRw4WlbgfQuJZeNXywf2hq34Y0hCCL--A7gVBWo6T3igijCNDkLGnPwDiugV9pIEtnFODeIcET5PwUgToHl2-1P77MqJy2okrGt6CmC5bxwI5OPEV4MGsUNvSHP34FLMWZ/file?dl=1
Resolving uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com (uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com)... 2620:100:6057:15::a27d:d0f, 162.125.13.15
Connecting to uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com (uc2fc064df073edb14568cb68878.dl.dropboxusercontent.com)|2620:100:6057:15::a27d:d0f|:443... connected.
HTTP request sent, awaiting response... 200 OK
Length: 75047 (73K) [application/binary]
Saving to: ‘paul_graham_essay.txt’

paul_graham_essay.t 100%[===================>]  73.29K  --.-KB/s    in 0.02s   

2023-12-06 10:57:30 (4.02 MB/s) - ‘paul_graham_essay.txt’ saved [75047/75047]

In [ ]:

from llama_index.core import SimpleDirectoryReader

# 加载一些示例数据
reader = SimpleDirectoryReader(input_files=["paul_graham_essay.txt"])
documents = reader.load_data()

启动 Ollama¶

确保你在终端中运行 ollama run llama2。

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# !ollama运行llama2

下载和初始化包¶

我们使用download_llama_pack来下载包类，然后我们用文档来初始化它。

每个包将有不同的初始化参数。您可以通过其README（也在LlamaHub上）找到有关每个包的初始化参数的更多信息。

注意：您还必须指定一个输出目录。在这种情况下，包被下载到voyage_pack。这允许您自定义和对文件进行更改，并稍后导入它！

In [ ]:

from llama_index.core.llama_pack import download_llama_pack

# 下载并安装依赖项
OllamaQueryEnginePack = download_llama_pack(
    "OllamaQueryEnginePack", "./ollama_pack"
)

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# 您可以使用任何llama-hub加载器来获取文档！
ollama_pack = OllamaQueryEnginePack(model="llama2", documents=documents)

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response = ollama_pack.run("What did the author do growing up?")

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print(str(response))

Based on the information provided in the context, the author did not mention anything about what he did growing up. The text only covers his experiences as an adult, including his work at Viaweb, Y Combinator, and his interest in painting. There is no information given about the author's childhood or formative years.