Based on our record, Ubuntu should be more popular than Weaviate. It has been mentiond 229 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.
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 / 3 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 / 4 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 / 5 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
So, yeah, no .deb file, no curl/wget, no apt repository that they maintain. OK, cool 😎 no problem. I'll keep looking on Ubuntu side to see if Ubuntu has something 😁 you know. I could see that GNU Aspel's appendix does seem to have a recipe for how to make it myself if I wanted to go that route, as I pointed out earlier, however, since I have Ubuntu, I kept stomping the pavement and then it happened, I was able to... - Source: dev.to / 4 months ago
* As always, Ubuntu(https://ubuntu.com/) All solid, functional, and not treating you like cattle. - Source: Hacker News / 4 months ago
Yes, visit this website and install: https://ubuntu.com/. Source: 6 months ago
$ multipass shell server Welcome to Ubuntu 22.04.3 LTS (GNU/Linux 5.15.0-87-generic x86_64) * Documentation: https://help.ubuntu.com * Management: https://landscape.canonical.com * Support: https://ubuntu.com/advantage System information as of Fri Nov 10 01:32:53 CST 2023 System load: 0.0 Processes: 90 Usage of /: 30.9% of 4.67GB Users logged in: 0 ... - Source: dev.to / 7 months ago
The Linux installation is/was Ubuntu with an encrypted LUKS partition and before applying a week-old backup I thought that there might be a change of rescuing some data. Source: 7 months ago
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/
Linux Mint - Linux Mint is one of the most popular desktop Linux distributions and used by millions of people.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Arch Linux - You've reached the website for Arch Linux, a lightweight and flexible Linux® distribution that tries to Keep It Simple. Currently we have official packages optimized for the x86-64 architecture.
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
Fedora - Fedora creates an innovative, free, and open source platform for hardware, clouds, and containers that enables software developers and community members to build tailored solutions for their users.