9798294333560 (8 resultados)
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 18,19
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Editorial: Independently Published, 2025
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 21,13
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 18,79
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Editorial: Independently Published, 2025
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 20,02
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 20,01
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Condición: New.
Librería: GreatBookPricesUK, Woodford Green, Reino UnidoGreatBookPricesUK
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EUR 20,96
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Editorial: Independently Published, 2025
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 20,55
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Paperback. Condición: new. Paperback. Unlock the Power of Vectors in AI ApplicationsDiscover how modern developers are building intelligent search and retrieval systems with embeddings, vector databases, and Python-powered APIs.Vector databases are at the heart of AI-native applications from semantic search to RAG-powered LLM sy…stems. This hands-on guide empowers developers to build real-world, production-ready vector search engines using Python, FastAPI, and open-source tools.Inside, you'll learn how to generate embeddings, store them efficiently, and build scalable retrieval systems using top-tier vector databases like FAISS, Qdrant, Milvus, and Pinecone. Through structured chapters and practical code examples, the book walks you through indexing strategies, similarity search, LLM integration, and full-stack deployment all from a developer's perspective.Whether you're developing custom search engines, recommendation systems, or AI chatbots, this book offers the practical foundation and tools you need to confidently implement vector-based solutions in your software projects.Key Features: Step-by-step tutorials on FAISS, Qdrant, Weaviate, Milvus, and PineconeBuild and deploy LLM-integrated search pipelines using FastAPIMaster embedding generation with Hugging Face and OpenAIDesign scalable architectures for production-ready retrieval systemsHands-on examples with code that's ready to adapt and extendStart developing the next generation of AI-powered applications. Grab your copy of "Vector Databases for Developers" today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editorial: Independently Published, 2025
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 23,49
Envío por EUR 43,30Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Unlock the Power of Vectors in AI ApplicationsDiscover how modern developers are building intelligent search and retrieval systems with embeddings, vector databases, and Python-powered APIs.Vector databases are at the heart of AI-native applications from semantic search to RAG-powered LLM sy…stems. This hands-on guide empowers developers to build real-world, production-ready vector search engines using Python, FastAPI, and open-source tools.Inside, you'll learn how to generate embeddings, store them efficiently, and build scalable retrieval systems using top-tier vector databases like FAISS, Qdrant, Milvus, and Pinecone. Through structured chapters and practical code examples, the book walks you through indexing strategies, similarity search, LLM integration, and full-stack deployment all from a developer's perspective.Whether you're developing custom search engines, recommendation systems, or AI chatbots, this book offers the practical foundation and tools you need to confidently implement vector-based solutions in your software projects.Key Features: Step-by-step tutorials on FAISS, Qdrant, Weaviate, Milvus, and PineconeBuild and deploy LLM-integrated search pipelines using FastAPIMaster embedding generation with Hugging Face and OpenAIDesign scalable architectures for production-ready retrieval systemsHands-on examples with code that's ready to adapt and extendStart developing the next generation of AI-powered applications. Grab your copy of "Vector Databases for Developers" today! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
