valkey

Valkey vector database.

To use, you should have the valkey-glide-sync python package installed:

pip install langchain-aws[valkey]

Connection URL schemas:

• valkey://: # simple connection
• valkey://:@: # connection with authentication
• valkeyss://: # connection with SSL
• valkeyss://:@: # connection with SSL and auth

Examples:

Initialize and load documents:

from langchain_aws.vectorstores import ValkeyVectorStore
from langchain_aws.embeddings import BedrockEmbeddings

embeddings = BedrockEmbeddings()
vds = ValkeyVectorStore.from_documents(
    documents,
    embeddings,
    valkey_url="valkey://cluster_endpoint:6379",
)

Initialize with texts and metadata:

vds = ValkeyVectorStore.from_texts(
    texts,
    metadata,
    embeddings,
    valkey_url="valkey://cluster_endpoint:6379",
)

Valkey filter expressions - aliases for InMemoryDB filters.

Valkey and InMemoryDB use the same Redis-compatible query syntax, so we reuse the InMemoryDB filter implementation.

Wrapper around Valkey vector database.