Tricked Tricked-dev

VPS cheaper than 5 €/month

Current status (October 2020): better avoid

Starting from 5 $/month.

	<think>
	Alright, so the user wants me to write a simple Svelte Todo app. It's straightforward and I need to make sure it's easy to understand and implement.

	First, I'll start by setting up the basic structure of an Svelte app. That means creating aplets file with a main component. I'll include the=posn dev approach for easier component management.

	Next, I'll outline the main fields, like current healing, completion, and actions. The target is to collect the completed tasks each week.

	For state management, I'll use named parameters for current healing,/Form, and the completed tasks. dynamic will help by converting variables when the interface changes.

	I'll create a default template that includes some initial health points to demonstrate usage.

	https://x.com/void_zero2/status/1860114650593132728
	https://fasterthanli.me/articles/lies-we-tell-ourselves-to-keep-using-golang
	https://fasterthanli.me/articles/i-want-off-mr-golangs-wild-ride
	https://news.ycombinator.com/item?id=41787385

	Combining Qdrant and LlamaIndex to keep Q&A systems up-to-date
	Introduction
	Have you ever been frustrated with an answer engine that is stuck in the past? As our world rapidly evolves, the accuracy of information changes accordingly. Traditional models can become outdated, providing answers that were once accurate but are now obsolete. The cost of outdated knowledge can be high - misinforming users, impacting decision-making, and ultimately undermining trust in your system.

	Qdrant and LlamaIndex work together seamlessly, continually adapting your engine to the relentless pace of information change. By mastering these tools, you can transform your applications from static knowledge repositories into dynamic, adaptable knowledge machines. Whether you're a seasoned data scientist or an AI enthusiast, join us on this learning journey - the future of answer engines is here, and it's time to embrace it.

	Learning Outcomes
	In this tutorial, you will learn the following:

	1️⃣ How to build a question-answering system

	{
	"cells": [
	{
	"cell_type": "markdown",
	"metadata": {},
	"source": [
	"Combining Qdrant and LlamaIndex to keep Q&A systems up-to-date\n",
	"---\n",
	"# Introduction\n",
	"\n",

	{
	"Name": "sogga",
	"RequestType": "POST",
	"Headers": {
	"Authorization": "password",
	"id": "your id"
	},
	"RequestURL": "https://ascella.wtf/v2/ascella/upload",
	"FileFormName": "image",
	"Arguments": {

	{
	"explorer.fileNesting.enabled": true,
	"explorer.fileNesting.patterns": {
	"Cargo.toml": "rust-toolchain.toml, Cargo.lock, rustfmt.toml",
	}
	}

	var n = {};
	n.endsWithChar = function ends_with_char(e, n) {
	return n.length > 1 ? n.indexOf(e.slice(-1)) > -1 : e.slice(-1) === n;
	};
	n.endsWith = function ends_with(e, n) {
	return e.slice(e.length - n.length) === n;
	};
	var i = {};
	var t;
	var r = [