elasticsearch-learning-to-rank VS awesome-semantic-search

Compare elasticsearch-learning-to-rank vs awesome-semantic-search and see what are their differences.

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elasticsearch-learning-to-rank awesome-semantic-search
2 3
1,462 319
0.2% -
5.4 5.7
4 days ago 5 months ago
Java
Apache License 2.0 Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

elasticsearch-learning-to-rank

Posts with mentions or reviews of elasticsearch-learning-to-rank. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

awesome-semantic-search

Posts with mentions or reviews of awesome-semantic-search. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

What are some alternatives?

When comparing elasticsearch-learning-to-rank and awesome-semantic-search you can also consider the following projects:

analysis-pinyin - 🛵 This Pinyin Analysis plugin is used to do conversion between Chinese characters and Pinyin.

Milvus - A cloud-native vector database, storage for next generation AI applications

springboot-learning-example - spring boot 实践学习案例,是 spring boot 初学者及核心技术巩固的最佳实践。

similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

contract-discovery - Data and additional information regarding the paper: Contract Discovery. Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines (to appear in Findings of EMNLP).

ColBERT - ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

SuperMarket - 设计精良的网上商城系统,包括前端、后端、数据库、负载均衡、数据库缓存、分库分表、读写分离、全文检索、消息队列等,使用SpringCloud框架,基于Java开发。该项目可部署到服务器上,不断完善中……

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

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qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/