Cassandra
Apache Cassandra® is a NoSQL, row-oriented, highly scalable and highly available database. Starting with version 5.0, the database ships with vector search capabilities.
The integrations outlined in this page can be used with Cassandra
as well as other CQL-compatible databases,
i.e. those using the Cassandra Query Language
protocol.
Installation and Setup
Install the following Python package:
pip install "cassio>=0.1.6"
Vector Store
from langchain_community.vectorstores import Cassandra
API Reference:
Learn more in the example notebook.
Chat message history
from langchain_community.chat_message_histories import CassandraChatMessageHistory
API Reference:
Learn more in the example notebook.
LLM Cache
from langchain.globals import set_llm_cache
from langchain_community.cache import CassandraCache
set_llm_cache(CassandraCache())
API Reference:
Learn more in the example notebook (scroll to the Cassandra section).
Semantic LLM Cache
from langchain.globals import set_llm_cache
from langchain_community.cache import CassandraSemanticCache
set_llm_cache(CassandraSemanticCache(
embedding=my_embedding,
table_name="my_store",
))
API Reference:
Learn more in the example notebook (scroll to the appropriate section).
Document loader
from langchain_community.document_loaders import CassandraLoader
API Reference:
Learn more in the example notebook.
Attribution statement
Apache Cassandra, Cassandra and Apache are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries.