Tag: Embedding
-
Decoding Chunking: Notes on Mastering Language Structure
This article, collection of notes, was co-written with Cheshire Cat. Memory-loaded items are listed in the resources at the end of the post. Introduction In a digital age overflowing with data, our brains often feel… Read more
-
Gentle introduction to Cheshire Cat Vector Search
TL;DRIn previous articles, we have seen how you navigate the vector space, know the memories, export them, … and how these are handled by the Cheshire Cat so as not to run into mistakes.In this… Read more
-
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
-
Don’t get lost in Vector Space
From “How the Cat works”, we report a simple image with all the Cheshire-Cat components. In this post, we focus on the Vector Memory. We look inside it and explain how to import/export and share… Read more