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.

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Article
· May 15, 2024 2m read
Retrieve images using vector search (1)

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.

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Article
· Sep 29, 2024 1m read
IRIS Test Data Generator

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,

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