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AwaDB

AwaDB 是一个AI原生数据库，用于搜索和存储LLM应用程序使用的嵌入向量。

你需要安装 langchain-community 使用 pip install -qU langchain-community 来使用这个集成

本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.

带分数的相似性搜索​

返回的距离分数在0-1之间。0表示不相似，1表示最相似

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)

恢复之前创建并添加数据的表​

AwaDB 自动持久化添加的文档数据。

如果你能恢复之前创建并添加的表，你可以像下面这样做：

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 加载表成功

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