MongoDB Atlas ChatMemoryFlow

[patrikduch]

Introduction
I recently designed a ChatMemoryFlow system utilizing MongoDB Atlas to demonstrate how MongoDB Atlas can effectively serve as a provider for chat memory storage.

Steps

1) Create MongoDB Atlas “Test Cluster”

2) Database access - creation of access user

3) Creation of username and password

Be sure to remember to add a role to your database configuration,_

4) Prepare MongoDb for usage

There are several sample databases available, but I recommend creating a new, dedicated database for your project. In this example, I've named it "test_ai," as shown in the image above.

5) Create a Database with this configuration

6] Flowise MongoDb Atlas Chat Flow

Credential Name

Name of the connection… for example “Mongo”.

Atlas ConnectionString

mongodb+srv://username:[email protected]/?retryWrites=true&w=majority&appName=TestCluster

Once the Flowise flows are connected and functioning correctly (with no errors), we can verify our MongoDB Atlas instance to ensure that the data is being persisted as expected. This step allows us to confirm that our setup is correctly storing information in the database.

Exported Flowise Flow

MongoDB Atlas Example Chatflow.json