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AwaDB

AwaDB 是一个面向大语言模型应用的 AI 原生数据库，用于嵌入向量的搜索与存储。

您需要使用 langchain-community 安装 pip install -qU langchain-community 才能使用此集成

这个笔记本展示了如何使用与AwaDB相关的功能。

%pip install --upgrade --quiet  awadb
from langchain_community.document_loaders import TextLoader
from langchain_community.vectorstores import AwaDB
from langchain_text_splitters import CharacterTextSplitter
loader = TextLoader("../../how_to/state_of_the_union.txt")
documents = loader.load()
text_splitter = CharacterTextSplitter(chunk_size=100, chunk_overlap=0)
docs = text_splitter.split_documents(documents)
db = AwaDB.from_documents(docs)
query = "What did the president say about Ketanji Brown Jackson"
docs = db.similarity_search(query)
print(docs[0].page_content)
And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.

相似性搜索（带分数）​

The returned distance score is between 0-1. 0 is dissimilar, 1 is the most similar

docs = db.similarity_search_with_score(query)
print(docs[0])
(Document(page_content='And I did that 4 days ago, when I nominated Circuit Court of Appeals Judge Ketanji Brown Jackson. One of our nation’s top legal minds, who will continue Justice Breyer’s legacy of excellence.', metadata={'source': '../../how_to/state_of_the_union.txt'}), 0.561813814013747)

还原创建并添加的数据之前​

AwaDB自动持久化添加的文档数据。

如果可以恢复之前创建并添加的表格，您可以这样做：

import awadb

awadb_client = awadb.Client()
ret = awadb_client.Load("langchain_awadb")
if ret:
    print("awadb load table success")
else:
    print("awadb load table failed")

awadb load table success