Librería: Robinson Street Books, IOBA, Binghamton, NY, Estados Unidos de America
Miembro de asociación: IOBA
EUR 11,97
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: As New. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDFine. First edition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 49,05
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Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 51,40
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 52,38
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Añadir al carritoPaperback. Condición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 50,86
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Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 57,51
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Añadir al carritoPaperback. Condición: New. The AI revolution is here, and at its core lies a game-changing technology that most developers haven't fully explored: vector databases. From powering semantic search to enabling large language models (LLMs) and generative AI, vector databases are reshaping how we build applications with unstructured data like text, images, and audio. But how do you go from curious to capable with this vital technology? That's where this book comes in.In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools. You'll learn about Word2vec, how to convert open source SQL databases like SQLite3 and PostgreSQL into vector databases, and integrate them into retrieval-augmented generation (RAG) applications. Whether you're a Python developer, data engineer, or ML practitioner, this book gives you the foundation to leverage vector databases confidently in your AI projects.Understand the connection between vector databases, embeddings, and LLMsLearn practical approaches for transforming SQL databases into vector databasesBuild RAG applications for both personal and enterprise useApply vector databases to solve real-world AI challengesLearn how to use vector databases with LLMs to build applications.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 52,36
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 58,59
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Añadir al carritoCondición: New.
EUR 67,14
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 250 pages. 9.19x7.00x9.19 inches. In Stock.
EUR 58,58
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. The AI revolution is here, and at its core lies a game-changing technology that most developers haven't fully explored: vector databases. From powering semantic search to enabling large language models (LLMs) and generative AI, vector databases are reshaping how we build applications with unstructured data like text, images, and audio. But how do you go from curious to capable with this vital technology? That's where this book comes in.In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools. You'll learn about Word2vec, how to convert open source SQL databases like SQLite3 and PostgreSQL into vector databases, and integrate them into retrieval-augmented generation (RAG) applications. Whether you're a Python developer, data engineer, or ML practitioner, this book gives you the foundation to leverage vector databases confidently in your AI projects.Understand the connection between vector databases, embeddings, and LLMsLearn practical approaches for transforming SQL databases into vector databasesBuild RAG applications for both personal and enterprise useApply vector databases to solve real-world AI challengesLearn how to use vector databases with LLMs to build applications.
EUR 58,58
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: New. The AI revolution is here, and at its core lies a game-changing technology that most developers haven't fully explored: vector databases. From powering semantic search to enabling large language models (LLMs) and generative AI, vector databases are reshaping how we build applications with unstructured data like text, images, and audio. But how do you go from curious to capable with this vital technology? That's where this book comes in.In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools. You'll learn about Word2vec, how to convert open source SQL databases like SQLite3 and PostgreSQL into vector databases, and integrate them into retrieval-augmented generation (RAG) applications. Whether you're a Python developer, data engineer, or ML practitioner, this book gives you the foundation to leverage vector databases confidently in your AI projects.Understand the connection between vector databases, embeddings, and LLMsLearn practical approaches for transforming SQL databases into vector databasesBuild RAG applications for both personal and enterprise useApply vector databases to solve real-world AI challengesLearn how to use vector databases with LLMs to build applications.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 58,63
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.