retriever.get_relevant_documents(query)[0]
Document(page_content='Tonight. I call on the Senate to: Pass the Freedom to Vote Act. Pass the John Lewis Voting Rights Act. And while you’re at it, pass the Disclose Act so Americans can know who is funding our elections. \n\nTonight, I’d like to honor someone who has dedicated his life to serve this country: Justice Stephen Breyer—an Army veteran, Constitutional scholar, and retiring Justice of the United States Supreme Court. Justice Breyer, thank you for your service. \n\nOne of the most serious constitutional responsibilities a President has is nominating someone to serve on the United States Supreme Court. \n\nAnd 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': '../../../state_of_the_union.txt'})
Updating a Document#
The update_document function allows you to modify the content of a document in the Chroma instance after it has been added. Let’s see an example of how to use this function.
# Import Document class
from langchain.docstore.document import Document
# Initial document content and id
initial_content = "This is an initial document content"
document_id = "doc1"
# Create an instance of Document with initial content and metadata
original_doc = Document(page_content=initial_content, metadata={"page": "0"})
# Initialize a Chroma instance with the original document
new_db = Chroma.from_documents(
    collection_name="test_collection",
    documents=[original_doc],
    embedding=OpenAIEmbeddings(),  # using the same embeddings as before
    ids=[document_id],
)
rtdocs_stable/api.python.langchain.com/en/stable/modules/indexes/vectorstores/examples/chroma.html