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Pinecone Vector Database with Marek Galovic

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Manage episode 393064639 series 1433944
内容由Machine Learning Archives - Software Engineering Daily提供。所有播客内容(包括剧集、图形和播客描述)均由 Machine Learning Archives - Software Engineering Daily 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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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Manage episode 393064639 series 1433944
内容由Machine Learning Archives - Software Engineering Daily提供。所有播客内容(包括剧集、图形和播客描述)均由 Machine Learning Archives - Software Engineering Daily 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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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