Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is Lesson 4 of Havenask Advanced Course Series, Word Segmenter Development. The video contains the following three parts.Introduction to Word Segmenter Plug in Built in Word Segmenter Introduction to Word Segmenter Practical Development We hope that through the course we can help you better use Havenask. We welcome developers to join the project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchHavenask official website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
This section shares the content related to the customization of Havenask UDF. It consists of three parts, including the introduction of Havenask UDF, the introduction of the development and configuration methods of custom UDF, and the actual operation demonstration of UDF customization.
The content of this sharing is Havenask's analyzer. This course is mainly divided into three parts (introduction to the analyzer, explanation of the main configuration of the analyzer, and practical demonstration). I hope this sharing can help you better understand and use Havenask.
The content of this sharing is Havenask's text index. This course is mainly divided into two parts. First, it briefly introduces the data structure of inverted index and the characteristics of text index. Then, it carries out the practice of configuring different analyzers for text index. I hope this sharing can help you better understand and use Havenask.
The content shared this time is the deployment of Havenask's Kubernetes mode, which consists of the following two parts (deployment of Kubernetes mode Havenask cluster, troubleshooting of problems related to Kubernetes mode). I hope it can help you better understand and use Havenask.
This sharing is about the troubleshooting of Havenask, which consists of the following four parts (Hape O&M script problems, cluster related problems, table related problems, data writing and query problems). I hope it can help you better understand and use Havenask.
The content shared this time is the log query of Havenask. The article contains specific query steps, examples, and practical demonstrations, hoping to help you better use Havenask.
The content of this sharing is Havenask's cluster expansion and segmentation, which consists of two parts (introduction to cluster expansion and segmentation, practice of cluster expansion and segmentation). I hope it can help you better understand and use Havenask.
The content of this sharing is Havenask's cluster expansion backup, which consists of two parts (introduction to cluster backup, cluster backup practice). I hope it can help you better understand and use Havenask.
The content of this sharing is to deploy the distributed version of Havenask using hape, which consists of two parts (deploying the distributed version of Havenask cluster and troubleshooting distributed related problems). I hope it can help you better understand and use Havenask.
This article introduces the table structure change of Havenask, including three parts: table structure introduction, full construction process and table structure change.The table structure is configured by the schema. The field types include INT, FLOAT, STRING, etc. The indexes include inverted, forward, and summary indexes.A full scale change will trigger a full scale build, which will be automatically switched after completion. However, direct changes are not supported for direct write tables.The change process involves using the shape command to update the schema and trigger the full build.Finally, there are flow charts and specific operation steps for full construction.
The content of this sharing is Havenask stand-alone mode, which consists of the following three parts (Hape tool introduction, creation of stand-alone Havenask, and Hape problem troubleshooting). I hope it can help you better understand and use Havenask.
The content of this sharing is Havenask's creation table, which consists of three parts (direct writing table and full scale, creation of direct writing table, creation of full scale). I hope it can help you better understand and use Havenask.
The content of this sharing is the introduction and development history of Havenask, which consists of the following five parts (overall introduction of Havenask, definition, architecture, code structure, compilation and deployment). I hope it can help you better understand and use Havenask.
Shape tool reference:https://havenask.net/#/Doc/sql/petroleum/intro kubernetes deployment reference:https://havenask.net/#/Doc/v1-2-0/sql/toolkit/startcluster/k8smode k8s mode problem troubleshooting:https://havenask.net/#/Doc/v1-2-0/sql/tool/problem # k8s% E6% A8% A1% E5% BC% 8F% E9% 97% AE% E9% A2% 98% E6% 8E% 92% E6% 9F% A5 Havenask is a large-scale distributed search engine independently developed by Alibaba, focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses inside Alibaba, such as Taobao, Tmall commodity search, and Hema search,Cainiao logistics order real-time retrieval, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the ninth lesson of Havenask introductory tutorial series, Problem Troubleshooting, and will explain the four parts of Havenask in use.● Hape operation and maintenance script ● cluster ● table creation ● data writing and query We hope that through the course we can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the open source official technical exchange group of Havenask: 78c5cfa61c64a55cdeb0655ac7eb2849.png
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the third lesson UDF Customization of Havenask advanced series courses. The video contains the following three parts.UDF Introduction UDF Development and Configuration Explanation Practical operation demonstration We hope that through the course we can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchHavenask official website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
References in the video:https://havenask.net/# /doc/v1-1-0/sql/indexes/inverted https://havenask.net/#/Doc/v1-1-0/sql/indexes/inverted # text% E7% B4% A2% E5% BC% 95 Havenask is a large-scale distributed search engine independently developed by Alibaba. Havenask focuses on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many internal businesses of Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of Cainiao logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is Lesson 1 Text Retrieval of Havenask Advanced Course Series, which covers two parts.Introduction to Text Indexing Text Indexing Practice We hope that the course can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of home-made open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchHavenask official website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Reference materials in the video:https://github.com/alibaba/havenask/tree/main/aios/plugins/havenask_plugins/analyzer_pluginsHavenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the second lesson Analyzer of Havenask advanced series courses. It explains four parts in total.Introduction, explanation, and summary of the actual demonstration of the main configuration of the Analyzer. We hope that the course can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchHavenask official website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is an open source high-performance search engine developed by Alibaba's Intelligent Engine Business Unit. It has deeply supported almost the entire Alibaba search business, including Taobao, Tmall, Cainiao, Gaode, and Enlemi.The purpose of performance test is to evaluate the response speed and stability of search engines under various loads and conditions.By simulating different user behaviors and query modes, we can reveal potential bottlenecks, optimize index strategies, adjust system configurations, and ensure Havenask can still maintain stable operation when the number of users or the amount of data increases dramatically.This article gives a simple scenario of recall performance testing for Havenask. After setting up Havenask services and writing data, use wrk to pressure test Havenask and view performance indicators such as QPS and query time consumption.
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Alibaba Cloud OpenSearch engine, through the hybrid retrieval technology of Dense and Sparse, has won the first place on the Chinese Embedding Model C-MTEB list, surpassing Baichuan and many open source models, especially in the Retrieval task.
Havenask is an open source high-performance search engine developed by Alibaba's Intelligent Engine Business Unit. It has deeply supported almost the entire Alibaba search business, including Taobao, Tmall, Cainiao, Gaode, and Enlemi.This paper takes a simple scenario of database retrieval acceleration as an example, and uses Havenask to establish inverted indexes on the text fields of the database. By inverted retrieval columns, the retrieval performance is improved and the retrieval time is shortened.
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Havenask is an open source high-performance search engine developed by Alibaba's Intelligent Engine Business Unit. It has deeply supported almost the entire Alibaba search business, including Taobao, Tmall, Cainiao, Gaode, and Enlemi.This article specifically introduces Havenask, as a high-performance recall search engine, the solution and core advantages of its application in vector retrieval and LLM intelligent question and answer scenarios.Through Havenask vector retrieval+large model, we can build a reliable intelligent question and answer solution in vertical fields, and quickly practice and apply it in business scenarios.
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Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the ninth lesson of Havenask introductory tutorial series, Problem Troubleshooting, and will explain the four parts of Havenask in use.● Hape operation and maintenance script ● cluster ● table creation ● data writing and query We hope that through the course we can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: The first section of this video Havenask introductory course, Introduction to Havenask and its development history, covers four parts-Product introduction and development history - open source code directory, meaning and function of main core modules - running image, compilation environment - overall architecture, basic concepts We hope that through the course we can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology,It benefits more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the second section of Havenask introductory course, "Deploying Havenask in a standalone version using hape". It explains four parts in total-Introduction to the hape tool - Deploy a standalone version of Havenask - How to write data, search - Troubleshoot problems We hope that the course can help you better use Havenask. We welcome developers to join the project development, build a high-quality search engine, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchHavenask official website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: The third section of this video Havenask introductory course, Deploying Distributed Havenask with Shape, covers three parts-Deploying a distributed version of Havenask - how to write data and search - problem troubleshooting We hope that the course can help you better use Havenask. We welcome developers to join the project development, build a high-quality search engine, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the fourth section of Havenask introductory course "Creating a Table", which explains two parts in total-Create a direct writing table - create a full scale We hope that through the course we can help you better use Havenask. We welcome developers to join in the project development, build a high-quality search engine, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the change table structure in section 5 of Havenask introductory course. It explains three parts in total.Table Structure Introduction Full Construction and Switching Process Modification Table Practice We hope that the course can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the seventh section of Havenask introductory course "Cluster Expansion", which will introduce Havenask expansion.We hope that the course can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the eighth lesson "Log Query" of Havenask introductory tutorial series, which will introduce the log query of Havenask.We hope that the course can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
Havenask is a large-scale distributed search engine independently developed by Alibaba, mainly focusing on intelligent search and real-time retrieval of massive data. Its core capabilities are widely used in many businesses within Alibaba, such as Taobao, Tmall commodity search, Hema search, real-time retrieval of rookie logistics orders, etc.It was officially opened to the public in November 2022. It has flexible customization and development capabilities, supports rapid algorithm iteration, helps customers and developers customize intelligent search services suitable for their own business, and helps business growth.This series of courses invited technical experts in charge of Havenask R&D to comprehensively explain the relevant knowledge of Havenask. Through the courses, we can learn about the product capabilities, architecture principles, installation and deployment, as well as detailed operation demonstrations to help people better understand and use the product.Course introduction: This video is the sixth section of Havenask introductory series, Cluster Extended Backup. It will introduce the extended backup of Havenask.We hope that the course can help you better use Havenask. We welcome developers to join in project development, build high-quality search engines, and jointly promote the rapid development of domestic open source search engine technology to benefit more developers and enterprises.In addition, for enterprise developers who need to use it, we have also provided a one-stop conversational search service - Alibaba Cloud OpenSearch - based on Havenask, which is fully hosted and maintenance free. Enterprise developers are welcome to try it out.Alibaba Cloud OpenSearch official website:https://www.aliyun.com/product/opensearchOfficial website address:https://havenask.net/ Github：https://github.com/alibaba/havenaskWelcome to the official technical exchange group of Havenask open source:
The advantage of using vector retrieval service is that it can convert text information into vector representation and calculate similarity.This makes it possible to efficiently search for texts that match the query semantics
Havenask is an open source high-performance search engine developed by Alibaba's Intelligent Engine Business Unit. It has deeply supported almost the entire Alibaba search business, including Taobao, Tmall, Cainiao, Gaode, and Enlemi.This article specifically introduces Havenask's message system Swift, which is a high-performance and reliable message system designed to handle large-scale data streams and real-time message transmission.
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This article introduces how to use sparse dense vectors for hybrid retrieval through OpenSearch vector retrieval version to obtain better search results.
Alibaba Cloud vector retrieval service is a powerful and easy-to-use cloud service product, designed for big data retrieval.Through in-depth learning model and efficient index structure, the service provides fast and accurate retrieval capability, which is suitable for a variety of business scenarios.In the evaluation, we comprehensively evaluated its function, performance and business scenario adaptability, and thought that it had excellent performance and good business scenario adaptability.In the future, Alibaba Cloud vector retrieval services are expected to continue to develop and innovate, expand more application fields, and bring more excellent experiences to users.
