DuckDB

This notebook shows how to use DuckDB 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" not in os.environ:
    os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")

from langchain_community.vectorstores import DuckDB
from langchain_openai import OpenAIEmbeddings

API Reference:DuckDB | OpenAIEmbeddings

from langchain_community.document_loaders import TextLoader
from langchain_text_splitters import 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 store conceptual guide
• Vector store how-to guides