{ "item_title" : "Vector Databases for Developers", "item_author" : [" Kenneth W. Moe "], "item_description" : "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 systems. 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 ", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/79/829/433/9798294333560_b.jpg", "price_data" : { "retail_price" : "17.99", "online_price" : "17.99", "our_price" : "17.99", "club_price" : "17.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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