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Here's an interesting article on Vector Databases: https://dev.to/pavanbelagatti/wtf-is-a-vector-database-a-beginners-guide-16p Good article!

Hi, We very much appreciate the interest in the Developer Community for IRIS Vector Search and hope our technology has helped many of you build innovative applications or advanced

Hi Community, It's time to announce the winners of the Vector Search, GenAI and ML Contest!

images into 512 dimensional vector data.

Then, take a deeper look at InterSystems IRIS's vector search capability, which enables efficient semantic searching for use in the RAG setup.

data Viewing Vector Data in the Management Portal Vector query The image vector query process uses VECTOR_COSINE to retrieve the similarity of vector data, which can be achieved

At its essence, a vector type is a structured collection of numerical values arranged in a predefined order.

Helpful Resources: ✓ Documentation: InterSystems IRIS Vector Search documentation InterSystems IntegratedML documentation Boosting Facial Recognition Vector Search ✓ Example

Now let's see the magic, the embedding generation and the vector search in the production.

of vectors.

Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris Part 2 – Python and Vector Search Since we have access to the data from our external table

The fun semantic meaning chosen was for musical vector search, to build new skills and knowledge along the way.

🔥 Voting for the Vector Search, GenAI and ML Contest goes ahead!

search of already indexed vectors.

It works by converting the documents and the query into vectors, and then computing the cosine similarity between the query vector and the document vectors.