#Vue.js

You need to install the application first. If not installed, please refer to the previous article

Application demonstration

After successfully running the iris image vector search application, some data needs to be stored to support image retrieval as it is not initialized in the library.

Image storage

Firstly, drag and drop the image or click the upload icon, select the image, and click the upload button to upload and vectorize it. This process may be a bit slow.

This process involves using embedded Python to call the CLIP model and vectorize the image into 512 dimensional vector data.

The test data generator is mainly used to generate test data, which can be used to generate test data for tables and fields to meet the needs of different fields according to different types, currently supports Text, Number, Enum, UUID, regular expression, Multiple date and time formats, and Time Seven different types
 

How to use:

1. Select a namespace, you can see all the tables under the namespace,

2. Select the table we want to generate test data from, click on the field, and select the type on the right

In the previous article, we saw in detail about Connectors, that let user upload their file and get it converted into embeddings and store it to IRIS DB. In this article, we'll explore different retrieval options that IRIS AI Studio offers - Semantic Search, Chat, Recommender and Similarity. 

New Updates  ⛴️ 

• Added installation through Docker. Run `./build.sh` after cloning to get the application & IRIS instance running in your local
• Connect via InterSystems Extension in vsCode - Thanks to @Evgeny Shvarov 
• Added FAQ's in the home page that covers the basic info for new users

Semantic Search

Hi Community,

In this article, I will introduce my application iris-image-vector-search.
The image vector retrieval demo uses IRIS Embedded Python and OpenAI CLIP model to convert images into 512 dimensional vector data. Through the new feature of Vector Search, VECTOR-COSINE is used to calculate similarity and display high similarity images.

Application direction of image retrieval  

Image retrieval has important application scenarios in the medical field, and using image retrieval can greatly improve work efficiency. Image retrieval can also be applied in the following fields, such as:

Idea sourced from InterSystems Ideas Portal

Previous Posts:

Using AI to Simplify Clinical Documents Storage, Retrieval, and Search

Doctor-Patient Conversations: AI-Powered Transcription and Summarization

Introduction

The healthcare industry is continuously evolving, and the need for efficient document management and patient data management is more critical than ever. In this article, we will focus on the specific aspects of integrating Google Docs and Google Sheets with FHIR data in the context of healthcare data interoperability.

Google Docs Integration for Clinical Documents

Problem

In a fast-paced clinical environment, where quick decision-making is crucial, the lack of streamlined document storage and access systems poses several obstacles. While storage solutions for documents exist (e.g, FHIR), accessing and effectively searching for specific patient data within those documents meaningfully can be a significant challenge.

Motivation

Hi All,

Is there a way to include the build files (dist folder files after building vuejs) into a CSP page.

Thanks,

Hi,

I have been trying to implement SPA using routing between two components in a CSP page. 

If i use the line which i commented the page views and gets data from the vue instance (when not using the <route-view> and other 2 vue route functions below).

since i need to implement routing i am using as below, now the property "selectedYear" is not getting data from vue instane and i am getting the below error as well.

I dont know whether i am going down the right path.

please see my code below and help me

I wrote a step by step tutorial in the qewd-howtos repository how you can write state of the art multi-page web apps with Node.js using a QEWD-Up WebSocket/REST api back-end integrated with a mainstream web framework like NuxtJS & Vue.js. In particular with the latest NuxtJS/Vue.js frameworks, writing web applications becomes fun again, allowing you to write your applications very efficiently, hiding all boilerplate code from you.

The tutorial should be very easy to try out on your development machine and consists of two parts:

Let's imagine if you would like to write some real web application, for instance, some simple clone of medium.com. Such sort of application can be written using any different language on the backend side, or with any framework on the frontend side. So many ways to do the same application, and you can look at this project. Which offers a bunch of frontends and backends realizations for exactly the same application. And you can easily mix them, any chosen frontend should work with any backend.

Let me introduce the same application realization for InterSystems IRIS on a backend side.

This is a basic JavaScript Vue.js example how you can use REST calls using plain HTML.

As an advanced alternative for REST calls, the new vue-qewd plugin for Vue.js allows easy integration with QEWDjs using WebSockets.