A: Hey, that would require coding but yes it's possible with custom AI:
Custom AI is a brand new feature, that we've just deployed to Alice few days ago. In short, it allows to connect your own back-end and use local models (like Ollama).

As we've just released it few days ago, we don't yet have a video tutorials covering it but will create it really soon, for sure. For now, we've created a template of a server in Node.js technology can be found here: https://github.com/iceener/heyalice-nodejs-backend-template

I hope it helps!

This is a big one for us. We're developing Alice to be the best front-end for any LLM use. Alice should be able to work with your company's data and connect to your custom AI and back-end. This means your entire knowledge base will be at your fingertips. Plus, you can limit access to data based on different company roles. You'll also be able to use offline, safe, and private models to operate on these knowledge bases.

By default, Alice communicates directly with OpenAI, Anthropic, Groq, Perplexity, or Ollama servers. However, from now on, it is also possible to connect your own back-end application with Custom AI. This makes possible:

- Connecting your own knowledge base
- Integrating your own logic for tool handling
- Implementing advanced "AI Agents" logic
- Connecting your own language models

This is probably great news for all a bit more technical or those working in companies with back-end developers on board. In practice, this is not that scary, especially with an example of a server in Node.js technology can we created for this feature:

But please, remember: This feature is currently experimental and may not work correctly 🤪 But we will surely improve it over time. We're currently running a few experimental Alice implementations with bigger companies, including their knowledge bases in RAGs.