DuckDB
This notebook shows how to useDuckDB
as a vector store.
! pip install duckdb langchain langchain-community langchain-openai
We want to use OpenAIEmbeddings so we have to get the OpenAI API Key.
import getpass
import os
if"OPENAI_API_KEY"notin os.environ:
os.environ["OPENAI_API_KEY"]= getpass.getpass("OpenAI API Key:")
from langchain_community.vectorstoresimport DuckDB
from langchain_openaiimport OpenAIEmbeddings
API Reference:DuckDB |OpenAIEmbeddings
from langchain_community.document_loadersimport TextLoader
from langchain_text_splittersimport CharacterTextSplitter
loader= TextLoader("../../how_to/state_of_the_union.txt")
documents= loader.load()
documents= CharacterTextSplitter().split_documents(documents)
embeddings= OpenAIEmbeddings()
API Reference:TextLoader |CharacterTextSplitter
docsearch= DuckDB.from_documents(documents, embeddings)
query="What did the president say about Ketanji Brown Jackson"
docs= docsearch.similarity_search(query)
print(docs[0].page_content)
Related
- Vector storeconceptual guide
- Vector storehow-to guides