Qdrant
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Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.
Manjaro OS for everyone manjaro has no adverts, licenses or fees, it respects user privacy and empowers them with full control over their hardware. It can be used for development, gaming, 3D, office or home, it can be installed on tablets, mobile, desktops, laptops and boards.
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Qdrant's answer
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
Qdrant's answer
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
Qdrant's answer
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
Based on our record, Manjaro should be more popular than Qdrant. It has been mentiond 123 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.
AgentCloud uses Qdrant as the vector store to efficiently store and manage large sets of vector embeddings. For a given user query the RAG application fetches relevant documents from vector store by analyzing how similar their vector representation is compared to the query vector. - Source: dev.to / 16 days ago
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker. - Source: dev.to / 27 days ago
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours. - Source: dev.to / about 1 month ago
I'm currently looking to implement locally, using QDrant [1] for instance. I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2]. [1]. https://qdrant.tech/. - Source: Hacker News / about 2 months ago
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb. - Source: Hacker News / 3 months ago
At some point all of us wanted to have a fully customized and flexible Linux configuration, not having a pre-configured system like Manjaro for example. There must be people out there, who are not a big fans of DE (Desktop Environments). Sure I also got into the arch world with Plasma's KDE, but after a while, it become dull, so that's when I started getting into configuring my setup, but when I had to do it every... - Source: dev.to / 3 months ago
I use MacBook Pro (Retina, 15-inch, Mid-2014) with Manjaro as OS using i3 as a window manager. It isn't perfect, but I'm thrilled with it. I have been a Mac OS user for the last 15 years and wouldn't change what I have now for a Mac OS because I don't need more than what I'm using for development. Source: 11 months ago
At any rate, you can try Breath, Crouton, Manjaro... Those are three of the distros people have found success with. It all boils down to the specific hardware involved... Which we know nothing about since you kept that to yourself. Source: 12 months ago
Start your new life at https://manjaro.org/. Source: 12 months ago
But if you were expecting to be able to complete the install and have a GUI available, you might be better off starting with something like Manjaro: Https://manjaro.org. Source: 12 months ago
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Linux Mint - Linux Mint is one of the most popular desktop Linux distributions and used by millions of people.
Weaviate - Welcome to Weaviate
Ubuntu - Ubuntu is a Debian Linux-based open source operating system for desktop computers.
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.
