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Pinecone Vector Database with Marek Galovic

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Contenuto fornito da Machine Learning Archives - Software Engineering Daily. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Machine Learning Archives - Software Engineering Daily o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to make data consumable by ML models.

However, storing embeddings presents a challenge to traditional databases. Vector databases are designed to solve this problem.

Pinecone has developed one of the most prominent vector databases that is widely used for ML and AI applications.

Marek Galovic is a software engineer at Pinecone and works on the core database team. He joins the podcast today to talk about how vector embeddings are created, engineering a vector database, unsolved challenges in the space, and more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.

The post Pinecone Vector Database with Marek Galovic appeared first on Software Engineering Daily.

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176 episodi

Artwork
iconCondividi
 
Manage episode 393064639 series 1433944
Contenuto fornito da Machine Learning Archives - Software Engineering Daily. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Machine Learning Archives - Software Engineering Daily o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to make data consumable by ML models.

However, storing embeddings presents a challenge to traditional databases. Vector databases are designed to solve this problem.

Pinecone has developed one of the most prominent vector databases that is widely used for ML and AI applications.

Marek Galovic is a software engineer at Pinecone and works on the core database team. He joins the podcast today to talk about how vector embeddings are created, engineering a vector database, unsolved challenges in the space, and more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.

The post Pinecone Vector Database with Marek Galovic appeared first on Software Engineering Daily.

  continue reading

176 episodi

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