description: Summarizes the conversation and stores the memory in Redis server.

Redis-Backed Chat Memory

The Redis-Backed Chat Memory node is a component that provides long-term memory storage for chat conversations using Redis as the backend. It summarizes and stores conversation history, allowing for persistent and scalable chat memory across sessions.

Parameters

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Credential

• Type: credential
• Credential Names: redisCacheApi, redisCacheUrlApi
• Description: Redis connection credentials

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Inputs

1. Session Id (optional)

   • Type: string
   • Default: Empty string
   • Description: Unique identifier for the chat session. If not specified, a random id will be used

2. Session Timeouts (optional)

   • Type: number
   • Description: Time-to-live (TTL) for the session in seconds. Omit this parameter to make sessions never expire

3. Memory Key

   • Type: string
   • Default: “chat_history”
   • Description: Key used to store and retrieve the chat history in Redis

4. Window Size (optional)

   • Type: number
   • Description: Number of recent back-and-forth interactions to use as memory context

Functionality

1. Initialization:

• Connects to Redis using provided credentials (either URL or individual connection parameters).
• Sets up a RedisChatMessageHistory instance for managing chat history.
• Creates a BufferMemoryExtended instance for handling memory operations.

2. Memory Operations:

• getChatMessages: Retrieves chat messages from Redis, with options for windowing and prepending messages.
• addChatMessages: Adds new messages (both user and AI) to the Redis store.
• clearChatMessages: Deletes all messages for a given session from Redis.

3. Session Management:

• Supports session-based storage using session IDs.
• Optional session timeout (TTL) for automatic expiration of old sessions.

Use Cases

• Long-running chatbots that need to maintain context across multiple interactions.
• Multi-user chat systems where each user’s history needs to be stored separately.
• Applications requiring scalable and persistent chat memory storage.

Integration

This node can be used in a AI solution to provide long-term memory capabilities to language models or other AI components that benefit from conversation history.

Notes

• Ensure that a Redis server is properly set up and accessible for this node to function correctly.
• When using in production, consider security implications and ensure proper authentication and encryption for Redis connections.
• The window size parameter can be used to limit the amount of history provided to AI models, which can be useful for managing token limits or focusing on recent context.

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