Long Term Memory

Long Term Memory in LangFlux refers to memory nodes that are capable of persisting past conversations, that can be later retrieved to resume the conversation. This allows the conversations for different users to be isolated.

There are 5 short term memory nodes in LangFlux:

• DynamoDB Chat Memory

• Motorhead Memory

• Redis Chat Memory

• Upstash Chat Memory

• Zep Memory

Separate conversations for multiple users

UI & Embedded Chat

By default, UI and Embedded Chat will automatically separate different users conversations. This is done by generating a unique chatId for each new interaction. That logic is handled under the hood by LangFlux.

Prediction API

You can separate the conversations for multiple users by specifying a unique sessionId

1. Use one of the long term memory nodes on LangFlux. Make sure the node has the input parameter Session ID

1. In the /api/v1/prediction/{your-chatflowid} POST body request, specify the sessionId in overrideConfig

{
    "question": "hello!",
    "overrideConfig": {
        "sessionId": "user1"
    }
}

Message API

• GET /api/v1/chatmessage/{your-chatflowid}

• DELETE /api/v1/chatmessage/{your-chatflowid}

Query Param	Type	Value
sessionId	string
sort	enum	ASC or DESC
startDate	string
endDate	string

All conversations can be visualized and managed from UI as well: