Vector search is an essential tool for many modern applications, particularly for information retrieval. It allows for efficient searching and retrieval of information based on similarity between vectors. Today I will explore how to implement a naive vector search with F#. Whether you are a seasoned F# developer or just starting out, this will provide you some useful information if you want to better understand the basics of vector search in your own projects.

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It is difficult to build much without needing to deal with json at some point. In the world of F# there are several options. Today I want to lay out some of the popular choices and offer some some compare and contrast. These libraries all have their own strengths and weaknesses, and bringing it all into a single place to highlight these is a useful point of reference for decision making and general understanding.

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Today I want to spend some time with join-semilattices, specifically my F# implementation, LVar. It is a conceptually interesting data structure and approach to managing information, as well as improving program correctness.

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Yaml is a useful format for both configuration and simple data representation that pops up from time to time. As a result, it is helpful to know how to use it and coding in F#. Today I’ll take a quick look into using Yaml and how it can be integrated into an F# project.

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Recently Ted Unangst wrote about his tool, watc, to extract line count and file size statistics to support some of his work. Chris Wellons followed up with his take on watc. Inspired by both posts, I thought it would be an interesting tool to add to my own toolbox. It pairs nicely with some of my current work on extracting useful information from code repositories. This feels like a good way to put together a quick tool using F#. I’ll also use this as an opportunity to show some F# along the way.

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