Spring Framework
Grails
Django
Laravel
ASP.NET
Vaadin Framework
Hibernate
Ruby on Rails
Weaviate
Qdrant
Milvus
txtai
pgvecto.rs
Zilliz
Vespa.ai
EVA DB
Spring Framework WeaviateBased on our record, Weaviate should be more popular than Spring Framework. It has been mentiond 28 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
We had to write our own frameworks (uphill, both ways) but most current frameworks will have similar documentation pages as well. Both Apache and Spring are especially good at that. - Source: dev.to / over 1 year ago
Framework link: https://spring.io/projects/spring-framework Github Link: https://github.com/spring-projects/spring-framework. - Source: dev.to / almost 2 years ago
A common used Java framework is Spring framework (ie https://spring.io/projects/spring-framework and short tutorials at https://www.baeldung.com/spring-intro). Source: almost 2 years ago
The most popular libraries are Spring Boot, which I mentioned above, and the[ Spring Framework](https://spring.io/projects/spring-framework), which makes it easy to start an application with different objects for different environments (e.g. You make a blueprint for objects that are used in a testing environment, and a separate one with objects for the prod environment). Source: almost 2 years ago
Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform. Source: almost 2 years ago
Weaviate: An open-source, cloud-native vector database built for scalable and fast vector searches. It's particularly effective for semantic search applications, combining full-text search with vector search for AI-powered insights. - Source: dev.to / 4 months ago
Weaviate is an open-source vector search engine with out-of-the-box support for vectorization, classification, and semantic search. It is designed to make vector search accessible and scalable, supporting use cases such as semantic text search, automatic classification, and more. - Source: dev.to / 4 months ago
Congrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really. - Source: Hacker News / 5 months ago
A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving... - Source: dev.to / 6 months ago
To find semantically similar texts we need to calculate the distance between vectors. While we have just a few short texts we can brute-force it: calculate the distance between our query and each text embedding one by one and see which one is the closest. When we deal with thousands or even millions of entries in our database, however, we need a more efficient way of comparing vectors. Just like for any other way... - Source: dev.to / 7 months ago
Grails - An Open Source, full stack, web application framework for the JVM
Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Django - The Web framework for perfectionists with deadlines
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Laravel - A PHP Framework For Web Artisans
txtai - AI-powered search engine