Author: Nicola Corbellini
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How to Implement a Custom File Parser
Let’s see how to implement a custom file parser to extend the supported files that can be uploaded in the Cat’s memory By default, the RabbitHole – the component that manages the file uploading in… Read more
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How to Setup a Local Embedder with Fastembed
Easy-to-use setup to run a local embedder model with FastEmbed Commonly, language models (i.e. chat and completion models) like GPTs, LLaMa, Mistral and so on get most of the attention. However, the so-called embedder models… Read more
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How to Run a Local Model with Ollama
Easy-to-use setup to extend the Cheshire Cat Docker configuration and run a local model with Ollama. If you’re interested in having the Cheshire Cat running a local Large Language Model (LLM), there are a handful… Read more
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Serving a Custom Large Language Model
How to setup the Cheshire Cat to run a custom Large Language Model (LLM). The Cheshire Cat offers two ways to setup a custom LLM, different from the Option number 1 will be treated in… Read more
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Creating a plugin repository
Use the ready-made repository template to organize and automate the development of an official Cheshire Cat plugin. You can easily structure a project to develop a plugin for the Cheshire Cat exploiting the plugin-template repository.… Read more