Chat Model Prompter and Python

Hi @Vexatious_Outlier,

Welcome to the Forum!

I found a thread talikg about the same issue here. Could it be possible you are facing the issue due to less memory allocation? Can you try to run the workflow on system with more memory or try increasing the memory allocation to Knime by editing KNIME.ini file

  • The line for memory allocation starts with “-Xmx” and “-Xms”. (The flag Xmx specifies the maximum memory allocation pool for a Java virtual machine (JVM), while Xms specifies the initial memory allocation pool)
    -Xmx16g :- memory allocation to 16GB

If this doesnot solve the issue, can you share a sample workflow for us to try and recreate the issue?

Best,
Keerthan

1 Like