Memory components in LLM Controls

Memory components store and retrieve chat messages. They are distinct from vector store components because they are built specifically for storing and retrieving chat messages from external databases. Memory components provide access to their respective external databases as memory. This allows Large Language Models (LLMs) or agents to access external memory for persistence and context retention.

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Use a memory component in a flow​

This example flow stores and retrieves chat history from an LLMC Vector DB Chat Memory component with Store Message and Message history components. The Store Message helper component stores chat memories as Data objects, and the Message History helper component retrieves chat messages as Data objects or strings.

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AstraDBChatMemory Component​

This component creates an AstraDBChatMessageHistory instance, which stores and retrieves chat messages using Astra DB, a cloud-native database service.

Parameters

Inputs

Name	Type	Description
collection_name	String	The name of the Astra DB collection for storing messages. Required.
token	SecretString	The authentication token for Astra DB access. Required.
api_endpoint	SecretString	The API endpoint URL for the Astra DB service. Required.
namespace	String	The optional namespace within Astra DB for the collection.
session_id	MessageText	The unique identifier for the chat session. Uses the current session ID if not provided.

Outputs

Name	Type	Description
message_history	BaseChatMessageHistory	An instance of AstraDBChatMessageHistory for the session.

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CassandraChatMemory Component​

This component creates a CassandraChatMessageHistory instance, enabling storage and retrieval of chat messages using Apache Cassandra or DataStax Astra DB.

Parameters

Inputs

Name	Type	Description
database_ref	MessageText	The contact points for the Cassandra database or Astra DB database ID. Required.
username	MessageText	The username for Cassandra. Leave empty for Astra DB.
token	SecretString	The password for Cassandra or the token for Astra DB. Required.
keyspace	MessageText	The keyspace in Cassandra or namespace in Astra DB. Required.
table_name	MessageText	The name of the table or collection for storing messages. Required.
session_id	MessageText	The unique identifier for the chat session. Optional.
cluster_kwargs	Dictionary	Additional keyword arguments for the Cassandra cluster configuration. Optional.

Outputs

Name	Type	Description
message_history	BaseChatMessageHistory	An instance of CassandraChatMessageHistory for the session.

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Mem0 Chat Memory

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Redis Chat Memory

This component retrieves and stores chat messages from Redis.

Parameters

Inputs

Name	Display Name	Info
host	hostname	The IP address or hostname.
port	port	The Redis Port Number.
database	database	The Redis database.
username	Username	The Redis username.
password	Password	The password for the username.
key_prefix	Key prefix	The key prefix.
session_id	Session ID	The unique session identifier for the message.

Outputs

Name	Display Name	Info
memory	Memory	The Redis chat message history object