mirror of
https://github.com/hwchase17/langchain
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62fa2bc518
--------- Co-authored-by: zhanghexian1 <zhanghexian1@jd.com> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
98 lines
3.5 KiB
Python
98 lines
3.5 KiB
Python
from langchain.docstore.document import Document
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from langchain.vectorstores.vearch import VearchDb
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from tests.integration_tests.vectorstores.fake_embeddings import FakeEmbeddings
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def test_vearch() -> None:
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"""
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Test end to end create vearch ,store vector into it and search
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"""
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texts = [
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"Vearch 是一款存储大语言模型数据的向量数据库，用于存储和快速搜索模型embedding后的向量，可用于基于个人知识库的大模型应用",
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"Vearch 支持OpenAI, Llama, ChatGLM等模型，以及LangChain库",
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"vearch 是基于C语言,go语言开发的，并提供python接口，可以直接通过pip安装",
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]
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metadatas = [
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{
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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{
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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{
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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]
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vearch_db = VearchDb.from_texts(
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texts=texts,
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embedding=FakeEmbeddings(),
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metadatas=metadatas,
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table_name="test_vearch",
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metadata_path="./",
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)
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result = vearch_db.similarity_search(
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"Vearch 支持OpenAI, Llama, ChatGLM等模型，以及LangChain库", 1
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)
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assert result == [
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Document(
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page_content="Vearch 支持OpenAI, Llama, ChatGLM等模型，以及LangChain库",
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metadata={
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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)
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]
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def test_vearch_add_texts() -> None:
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"""Test end to end adding of texts."""
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texts = [
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"Vearch 是一款存储大语言模型数据的向量数据库，用于存储和快速搜索模型embedding后的向量，可用于基于个人知识库的大模型应用",
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"Vearch 支持OpenAI, Llama, ChatGLM等模型，以及LangChain库",
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"vearch 是基于C语言,go语言开发的，并提供python接口，可以直接通过pip安装",
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]
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metadatas = [
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{
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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{
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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{
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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]
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vearch_db = VearchDb.from_texts(
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texts=texts,
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embedding=FakeEmbeddings(),
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metadatas=metadatas,
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table_name="test_vearch",
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metadata_path="./",
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)
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vearch_db.add_texts(
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texts=["Vearch 支持OpenAI, Llama, ChatGLM等模型，以及LangChain库"],
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metadatas={
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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)
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result = vearch_db.similarity_search(
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"Vearch 支持OpenAI, Llama, ChatGLM等模型，以及LangChain库", 2
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)
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assert result == [
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Document(
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page_content="Vearch 支持OpenAI, Llama, ChatGLM等模型，以及LangChain库",
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metadata={
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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),
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Document(
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page_content="Vearch 支持OpenAI, Llama, ChatGLM等模型，以及LangChain库",
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metadata={
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"source": "/data/zhx/zhx/langchain-ChatGLM_new/knowledge_base/santi/three_body.txt"
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},
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),
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]
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