Tagged: Free and Open Source

MinusX with Metabase Charting 0

From Prompt to Report

I have been exploring LLMs to see if they can be used to do data analysis. LLMs are not good with data by default. But they are good at analyzing a small table and trying to make sense of it. LLMs are also decent at writing code. So my wish was, can I...

Uma loves playing with warer 3

Weekly Notes 30/2025

This week was another good but hectic week. I went to school almost every day with Uma, I completed most of my planned tasks, and didn’t miss physiotherapy. So not bad. For the last couple of days, it has been cloudy and drizzled a bit; otherwise, the monsoon has vanished. Uma loves playing...

Jotheyali Web Playlist Player. Load and play JSPF playlists from web URLs. 0

Jotheyali – Web Playlist Player

I prefer a vendor-neutral playlist of songs and media. The standard I like is JSPF (JSON XSPF). It’s also a standard feature that ListenBrainz supports, but unfortunately, it is limited to what’s available on MusicBrainz. If you want to maintain playlists outside Listenbrainz, then try mbzlists. It’s a FOSS playlist creator, editor, and...

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Local LanguageTool With Eloquent and LibreOffice

English wasn’t my first/primary language. I attended a Kannada-medium school during my primary school years and switched to an English-medium school in high school. I caught up with it as I grew up speaking it with friends and then colleagues, as English is the primary language at work 1. Now that we are...

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Weekly Notes 27/2025

Welcome to the second half of 2025. How was the year so far for you? For me, it’s been mostly good, except for the radiculopathy and the rapid pace of the year. If the first half has gone by so quickly, I can’t imagine how fast the second will go. It usually feels...

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Embedding models for Kannada

Table of Contents1 Open Weight Models1.1 nomic-embed-text-v2-moe1.2 paraphrase-multilingual1.3 bge-m31.4 snowflake-arctic-embed22 OpenAI Model2.1 text-embedding-3-large Embedding models transform words, sentences, documents, or digital items into vectors of numbers (usually floats) so that machines can understand and compare them semantically1. A good embedding model has enough information to capture the meaning and relationships in dense vector...