Unpacking Spotify’s podcast search product | Vector search
& a training on using ANN to improve vector search results
I recently heard an interesting story from three prominent data professionals. While planning their weekly discussion group, they discovered Spotify's podcast search feature.
Have you heard of it? I hadn’t.
Intrigued as they were by the product’s ability to find nuanced takes on generative AIs’ impact on enterprise data strategy, they set out on a mission to figure out how this tool worked.
What they discovered is that Spotify’s Podcast Search product actually leverages ANN to overcome the keyword search limitations which are typical for podcast search queries. By using vector embeddings generated from the Universal Sentence Encoder CMLM model, Spotify efficiently matches queries with relevant podcast episodes. This product significantly benefits customers by delivering highly relevant content recommendations, improving discoverability, and enriching the overall listening experience with content that matches their queries and interests more accurately.
Interesting, right? You can read more about this use case on Rockset here.
I have a question for you though….
If you’re interested in learning how to implement vector search with ANN, I have some amazing news!
Free Live Training on Using ANN for Vector Search at Speed & Scale
With the exponential growth of both data volume and complexity, the ability to efficiently search and analyze high-dimensional data sets is imperative. This is particularly true across sectors (like e-commerce and multimedia content delivery) that rely on vast databases, and where search efficiency significantly impacts user experience and operational success.
On February 5, 2024, from 10:00am to 11:00 am PST, we invite you to join a cutting-edge training: Using ANN for Vector Search at Speed & Scale.
This session promises to explore the transformative potential of Approximate Nearest Neighbors (ANN) in enhancing vector search capabilities, while also demonstrating practical applications through a live demo on AWS.
What You’ll Get:
Grasp a hold of the key principles of ANN and its significance in the modern data landscape.
Learn techniques to effectively scale vector search for handling large datasets, a critical skill for data professionals aiming to leverage data at scale.
Witness a live demonstration of ANN on AWS, and get a unique look at how these technologies can be integrated to enhance performance.
Uncover strategies to maintain the delicate balance between search accuracy and efficiency so you can optimize for both without compromise.
Gain insights into the real-world application of ANN across various industries, thus providing a broader perspective on its potential impact.
This free training is an essential opportunity for data scientists, AI specialists, and technology leaders to deepen their understanding of ANN and its application in vector search.
Whether you're aiming to optimize your organization’s data strategies or seeking to stay at the forefront of technological advancements, the insights and skills shared in this session will be invaluable.
Spaces are going fast. Save your seat by registering today.
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