All - Activity - shubham3582 - Rasa Community Forum

Bots in production

I might help you better, if you elaborate the exact scenario.

Feedback on ConveRT Model + Rasa NLU

@arbazkhan971 Share your VM detail and cloud provider name. Before upgrading pip, please run sudo apt-get update if you are using ubuntu

@arbazkhan971 Upgrade your pip version by using pip install --upgrade pip

@arbazkhan971 Please share which cloud VM you are using, also python version, pip version. I believe your pip version is older, please upgrade it to v19+.

Bots in production

As long as you give each user a unique sender_id in the requests you make to your input channel, this shouldn’t be an issue – each person will have their own unique conversation with the bot.

Bots in production

Do you want to run multiple chatbot instances or you want to run multiple chats for different users? Multiple chatbot instances may not possible to run with rasa community edition. For running the chatbot for different users can be achieved. Your application session/bearer token needs to taken into…

Bots in production

Hi, your bot works very fast. But as per my experience you need to add more training data to this bot. If possible can you share more details.

@Juste This will be very helpful for all of us. Meanwhile I have few suggestions:

• Run Rasa on high performance server/machine (minimum 4 cores and 16GB RAM)
• You can run duckling on separate server (but need to change conf file of rasa bot)
• Also actions servers can be hosted on separate server (need to…)

Rasa in production (Performance Benchmarking and how to scale)

Following questions still are in my mind before we are shipping our rasa-based solution to production:

• Is there any performance benchmarking for rasa core and rasa nlu?
• How we can scale rasa (both horizontally and vertically)?
• Is it possible to share any production-grade architecture of rasa based solution?