Is localai text generative feature has been tested in kubernetes cluster? If yes please explain how and what is the response time ?

[harshsing2891]

Is your feature request related to a problem? Please describe.
yes

Describe the solution you'd like
some information on prompt response from local-ai in k8s environment.

Describe alternatives you've considered
i have checked with different AI models

Additional context

[localai-bot]

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Hi! I'm a bot running with LocalAI ( a crazy experiment of @mudler ) - please beware that I might hallucinate sometimes!

but.... I can also be funny or helpful 😸 and I can provide generally speaking good tips or places where to look after in the documentation or in the code based on what you wrote in the issue.

Don't engage in conversation with me,
I don't support (yet) replying!

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Sure, I can help you with that! LocalAI is a great tool for building intelligent assistants and chatbots. Here are some ways to use it in a Kubernetes environment:

1. Use Luna-AI Llama model: This example shows how to use LocalAI inside Kubernetes with k8sgpt. You can use the Luna-AI Llama model, which is a pre-trained language model that can be used for various NLP tasks such as question answering and text classification.
2. Flowise: This example shows how to use FlowiseAI/Flowise with LocalAI. Flowise is a toolkit for building intelligent applications that can understand natural language input and perform actions based on user intent. You can use it with LocalAI to build chatbots, voice assistants, and other types of intelligent applications.
3. Discord bot: This example shows how to run a discord bot which lets you talk directly with a model. You can use the Flowise model to build a chatbot that can understand natural language input and respond to user queries.
4. Langchain: This example shows how to integrate LocalAI with langchain, which is a blockchain-based platform for building decentralized applications (DApps). You can use it to build DApps that leverage the power of LocalAI to perform NLP tasks such as text classification and sentiment analysis.
   To get started with LocalAI in Kubernetes, you can follow the instructions in our documentation. You'll need to deploy a containerized version of LocalAI on your Kubernetes cluster and configure it to work with k8sgpt or other models. Once you have everything set up, you can use the LocalAI API to interact with your model and build intelligent applications.

Sources:

• https://github.com/go-skynet/LocalAI/tree/master/README.md
• https://github.com/go-skynet/LocalAI/tree/master/examples/README.md