�ݺ�ߣshows by User: skitsanos

�ݺ�ߣshows by User: skitsanos / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: skitsanos / Tue, 25 Apr 2023 08:43:03 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: skitsanos Weaviate and Pinecone Comparison.pdf /slideshow/weaviate-and-pinecone-comparisonpdf/257555291 weaviateandpineconecomparison-230425084303-8dba68c7
Weaviate and Pinecone are both search engines that allow developers to build powerful search and discovery applications. Weaviate is designed specifically for natural language or numerical data and is based on contextualized embeddings, while Pinecone is a more general-purpose vector search engine that can be used for a wide range of data types, including images, audio, and sensor data. Both Weaviate and Pinecone use similar approaches to document loading and vectorization, but differ in their focus and capabilities. Weaviate provides REST and GraphQL APIs that allow developers to easily interact with the search engine using Lua or other programming languages, and supports features such as natural language processing and knowledge graph creation. Pinecone, on the other hand, provides built-in similarity search functionality and is optimized for large-scale, high-throughput search applications. When choosing between Weaviate and Pinecone, it's important to consider factors such as your specific use case, performance requirements, flexibility, data sources, and cost. Weaviate may be a better fit if your use case involves natural language processing or you need to integrate with Lua-based tools such as OpenResty or Tarantool. Pinecone may be a better fit if you need to handle large-scale, high-throughput search applications or work with a wide range of data types. Ultimately, the choice between Weaviate and Pinecone will depend on the specific requirements of your project and the features and capabilities that are most important to you.]]>
Weaviate and Pinecone are both search engines that allow developers to build powerful search and discovery applications. Weaviate is designed specifically for natural language or numerical data and is based on contextualized embeddings, while Pinecone is a more general-purpose vector search engine that can be used for a wide range of data types, including images, audio, and sensor data. Both Weaviate and Pinecone use similar approaches to document loading and vectorization, but differ in their focus and capabilities. Weaviate provides REST and GraphQL APIs that allow developers to easily interact with the search engine using Lua or other programming languages, and supports features such as natural language processing and knowledge graph creation. Pinecone, on the other hand, provides built-in similarity search functionality and is optimized for large-scale, high-throughput search applications. When choosing between Weaviate and Pinecone, it's important to consider factors such as your specific use case, performance requirements, flexibility, data sources, and cost. Weaviate may be a better fit if your use case involves natural language processing or you need to integrate with Lua-based tools such as OpenResty or Tarantool. Pinecone may be a better fit if you need to handle large-scale, high-throughput search applications or work with a wide range of data types. Ultimately, the choice between Weaviate and Pinecone will depend on the specific requirements of your project and the features and capabilities that are most important to you.]]> Tue, 25 Apr 2023 08:43:03 GMT /slideshow/weaviate-and-pinecone-comparisonpdf/257555291 skitsanos@slideshare.net(skitsanos) Weaviate and Pinecone Comparison.pdf skitsanos Weaviate and Pinecone are both search engines that allow developers to build powerful search and discovery applications. Weaviate is designed specifically for natural language or numerical data and is based on contextualized embeddings, while Pinecone is a more general-purpose vector search engine that can be used for a wide range of data types, including images, audio, and sensor data. Both Weaviate and Pinecone use similar approaches to document loading and vectorization, but differ in their focus and capabilities. Weaviate provides REST and GraphQL APIs that allow developers to easily interact with the search engine using Lua or other programming languages, and supports features such as natural language processing and knowledge graph creation. Pinecone, on the other hand, provides built-in similarity search functionality and is optimized for large-scale, high-throughput search applications. When choosing between Weaviate and Pinecone, it's important to consider factors such as your specific use case, performance requirements, flexibility, data sources, and cost. Weaviate may be a better fit if your use case involves natural language processing or you need to integrate with Lua-based tools such as OpenResty or Tarantool. Pinecone may be a better fit if you need to handle large-scale, high-throughput search applications or work with a wide range of data types. Ultimately, the choice between Weaviate and Pinecone will depend on the specific requirements of your project and the features and capabilities that are most important to you. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/weaviateandpineconecomparison-230425084303-8dba68c7-thumbnail.jpg?width=120&height=120&fit=bounds" /> Weaviate and Pinecone are both search engines that allow developers to build powerful search and discovery applications. Weaviate is designed specifically for natural language or numerical data and is based on contextualized embeddings, while Pinecone is a more general-purpose vector search engine that can be used for a wide range of data types, including images, audio, and sensor data. Both Weaviate and Pinecone use similar approaches to document loading and vectorization, but differ in their focus and capabilities. Weaviate provides REST and GraphQL APIs that allow developers to easily interact with the search engine using Lua or other programming languages, and supports features such as natural language processing and knowledge graph creation. Pinecone, on the other hand, provides built-in similarity search functionality and is optimized for large-scale, high-throughput search applications. When choosing between Weaviate and Pinecone, it's important to consider factors such as your specific use case, performance requirements, flexibility, data sources, and cost. Weaviate may be a better fit if your use case involves natural language processing or you need to integrate with Lua-based tools such as OpenResty or Tarantool. Pinecone may be a better fit if you need to handle large-scale, high-throughput search applications or work with a wide range of data types. Ultimately, the choice between Weaviate and Pinecone will depend on the specific requirements of your project and the features and capabilities that are most important to you.

Weaviate and Pinecone Comparison.pdf from Evgenios Skitsanos

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0 LoggerDaisy RipeSENSE /slideshow/loggerdaisy-ripesense/70575908 6843a24b-a224-4260-804e-e881619604dc-170101131220
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]]> Sun, 01 Jan 2017 13:12:20 GMT /slideshow/loggerdaisy-ripesense/70575908 skitsanos@slideshare.net(skitsanos) LoggerDaisy RipeSENSE skitsanos <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/6843a24b-a224-4260-804e-e881619604dc-170101131220-thumbnail.jpg?width=120&height=120&fit=bounds" />

LoggerDaisy RipeSENSE from Evgenios Skitsanos

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0 Skitsanos Design brochure /slideshow/skitsanos-design-brochure/60716215 skitsanosdesign-leaflet-160410141243
Skitsanos Design brochure for ISK SODEX expo in May 4, 2016]]>
Skitsanos Design brochure for ISK SODEX expo in May 4, 2016]]> Sun, 10 Apr 2016 14:12:43 GMT /slideshow/skitsanos-design-brochure/60716215 skitsanos@slideshare.net(skitsanos) Skitsanos Design brochure skitsanos Skitsanos Design brochure for ISK SODEX expo in May 4, 2016 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/skitsanosdesign-leaflet-160410141243-thumbnail.jpg?width=120&height=120&fit=bounds" /> Skitsanos Design brochure for ISK SODEX expo in May 4, 2016

Skitsanos Design brochure from Evgenios Skitsanos

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0 Exercise: Building Node-webkit apps /slideshow/node-web-kit-apps/42694305 node-webkitapps-141214131112-conversion-gate01
Exercise for programmers that wants to build desktop apps with use of JavaScript.]]>
Exercise for programmers that wants to build desktop apps with use of JavaScript.]]> Sun, 14 Dec 2014 13:11:12 GMT /slideshow/node-web-kit-apps/42694305 skitsanos@slideshare.net(skitsanos) Exercise: Building Node-webkit apps skitsanos Exercise for programmers that wants to build desktop apps with use of JavaScript. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/node-webkitapps-141214131112-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Exercise for programmers that wants to build desktop apps with use of JavaScript.

Exercise: Building Node-webkit apps from Evgenios Skitsanos

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0 LoggerDaisy mobile app /slideshow/logger-daisy-app/39204163 loggerdaisyapp-140917121324-phpapp02
Mockup for the mobile application to be used with LoggerDaisy Gen2 sensors]]>
Mockup for the mobile application to be used with LoggerDaisy Gen2 sensors]]> Wed, 17 Sep 2014 12:13:24 GMT /slideshow/logger-daisy-app/39204163 skitsanos@slideshare.net(skitsanos) LoggerDaisy mobile app skitsanos Mockup for the mobile application to be used with LoggerDaisy Gen2 sensors <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/loggerdaisyapp-140917121324-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Mockup for the mobile application to be used with LoggerDaisy Gen2 sensors

LoggerDaisy mobile app from Evgenios Skitsanos

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0 Blue pannels cheat sheet /slideshow/blue-pannels-cheat-sheet/29395958 bluepannelscheatsheet-131220130504-phpapp01
Most used key combinations in Norton Commander like apps]]>
Most used key combinations in Norton Commander like apps]]> Fri, 20 Dec 2013 13:05:04 GMT /slideshow/blue-pannels-cheat-sheet/29395958 skitsanos@slideshare.net(skitsanos) Blue pannels cheat sheet skitsanos Most used key combinations in Norton Commander like apps <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluepannelscheatsheet-131220130504-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Most used key combinations in Norton Commander like apps

Blue pannels cheat sheet from Evgenios Skitsanos

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0 Learning subjects for junior level developers at Skitsanos Inc. /slideshow/learning-subjects-for-junior-level-developers-at-skitsanos-inc/28129016 learningsubjects-131111141522-phpapp01
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]]> Mon, 11 Nov 2013 14:15:22 GMT /slideshow/learning-subjects-for-junior-level-developers-at-skitsanos-inc/28129016 skitsanos@slideshare.net(skitsanos) Learning subjects for junior level developers at Skitsanos Inc. skitsanos <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/learningsubjects-131111141522-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Learning subjects for junior level developers at Skitsanos Inc. from Evgenios Skitsanos

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0 AJAX vs. Flex, 2007 /skitsanos/ajax-pronsncons-2008 ajax-prons-n-cons-130212135434-phpapp01
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]]> Tue, 12 Feb 2013 13:54:34 GMT /skitsanos/ajax-pronsncons-2008 skitsanos@slideshare.net(skitsanos) AJAX vs. Flex, 2007 skitsanos <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ajax-prons-n-cons-130212135434-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

AJAX vs. Flex, 2007 from Evgenios Skitsanos

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0 Implementing XBRL, 2005 /skitsanos/implementing-xbrl-2005 implementingxbrl-130212134834-phpapp02
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Implementing XBRL, 2005 from Evgenios Skitsanos

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0 Data exchange between flex and java script, 2007 /slideshow/data-exchange-between-flex-and-java-script-2007/16492572 dataexchangebetweenflexandjavascript-130212134031-phpapp02
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]]> Tue, 12 Feb 2013 13:40:30 GMT /slideshow/data-exchange-between-flex-and-java-script-2007/16492572 skitsanos@slideshare.net(skitsanos) Data exchange between flex and java script, 2007 skitsanos <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dataexchangebetweenflexandjavascript-130212134031-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Data exchange between flex and java script, 2007 from Evgenios Skitsanos

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0 RIA Data and Security, 2007 /slideshow/ria-implementation/16492502 riaimplementation-130212133418-phpapp02
Another doc written back in 2007 for a client]]>
Another doc written back in 2007 for a client]]> Tue, 12 Feb 2013 13:34:18 GMT /slideshow/ria-implementation/16492502 skitsanos@slideshare.net(skitsanos) RIA Data and Security, 2007 skitsanos Another doc written back in 2007 for a client <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/riaimplementation-130212133418-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Another doc written back in 2007 for a client

RIA Data and Security, 2007 from Evgenios Skitsanos

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0 Accessibility guidelines for flex, 2007 /slideshow/accessibility-guidlines-for-flex/16492426 accessibilityguidlinesforflex-130212132600-phpapp02
Accessibility guidelines for flex, (c) 2007, Skitsanos Inc.]]>
Accessibility guidelines for flex, (c) 2007, Skitsanos Inc.]]> Tue, 12 Feb 2013 13:26:00 GMT /slideshow/accessibility-guidlines-for-flex/16492426 skitsanos@slideshare.net(skitsanos) Accessibility guidelines for flex, 2007 skitsanos Accessibility guidelines for flex, (c) 2007, Skitsanos Inc. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/accessibilityguidlinesforflex-130212132600-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Accessibility guidelines for flex, (c) 2007, Skitsanos Inc.

Accessibility guidelines for flex, 2007 from Evgenios Skitsanos

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0 https://cdn.slidesharecdn.com/profile-photo-skitsanos-48x48.jpg?cb=1682412754 As a seasoned Product Development professional with expertise in ArangoDB, Node.js, Fastify, React, Alibaba Ice, Ant.Design, APIs, OpenResty/nginx, Lua, and AI, I bring a track record of success in delivering innovative, customer-centric solutions. With a strong focus on software development best practices, I leverage my deep technical knowledge to deliver high-quality products that exceed user expectations. I am committed to continuous learning and professional development, staying up-to-date with the latest trends and emerging technologies in the industry. skitsanos.com https://cdn.slidesharecdn.com/ss_thumbnails/weaviateandpineconecomparison-230425084303-8dba68c7-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/weaviate-and-pinecone-comparisonpdf/257555291 Weaviate and Pinecone ... https://cdn.slidesharecdn.com/ss_thumbnails/6843a24b-a224-4260-804e-e881619604dc-170101131220-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/loggerdaisy-ripesense/70575908 LoggerDaisy RipeSENSE https://cdn.slidesharecdn.com/ss_thumbnails/skitsanosdesign-leaflet-160410141243-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/skitsanos-design-brochure/60716215 Skitsanos Design broch...