Neural Search - From Prototype to Production with Jina

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Implement neural search systems on the cloud by leveraging Jina design patterns. Key Features include identifying various search techniques and applications of neural search, gaining a solid understanding of vector representation, and unlocking deeper knowledge of Jina for neural search. Search is a crucial and expanding aspect of technology, but traditional methods have inherent limitations. Neural search offers a new approach by utilizing machine learning to retrieve information through vector embeddings, enhancing traditional search results. However, fine-tuning neural search can be complex, requiring an understanding of its various components. Jina addresses this challenge by providing an infrastructure that simplifies the creation of deep learning-powered search engines. This resource teaches the fundamentals of neural networks, their strengths and weaknesses, and how to effectively use Jina to build a search engine. Through step-by-step explanations, practical examples, and self-assessment questions, readers will become proficient in neural search basics and core Jina concepts, enabling them to build their own search engines. By the end, you will be equipped to utilize Jina's neural search design patterns for comprehensive search solutions across multiple modalities. This book is ideal for machine learning, deep learning, or AI engineers interested in creating diverse search systems using modern software architectur