Ollama Llama Pack 示例¶

设置数据¶

In [ ]

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

!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

# load in some sample data
reader = SimpleDirectoryReader(input_files=["paul_graham_essay.txt"])
documents = reader.load_data()

from llama_index.core import SimpleDirectoryReader # load in some sample data 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。

In [ ]

# !ollama run llama2

# !ollama run llama2

下载并初始化 Pack¶

我们使用 download_llama_pack 下载 pack 类，然后使用文档对其进行初始化。

每个 pack 都有不同的初始化参数。你可以通过它的 README（也在 LlamaHub 上）找到每个 pack 的更多初始化参数信息。

注意：你还必须指定一个输出目录。在此示例中，pack 下载到 voyage_pack 目录。这样你就可以自定义和修改文件，并在以后导入它！

In [ ]

from llama_index.core.llama_pack import download_llama_pack

# download and install dependencies
OllamaQueryEnginePack = download_llama_pack(
    "OllamaQueryEnginePack", "./ollama_pack"
)

from llama_index.core.llama_pack import download_llama_pack # download and install dependencies OllamaQueryEnginePack = download_llama_pack( "OllamaQueryEnginePack", "./ollama_pack" )

In [ ]

# You can use any llama-hub loader to get documents!
ollama_pack = OllamaQueryEnginePack(model="llama2", documents=documents)

# You can use any llama-hub loader to get documents! ollama_pack = OllamaQueryEnginePack(model="llama2", documents=documents)

In [ ]

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

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

In [ ]

print(str(response))

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.