Fedora
Ubuntu
Linux Mint
Manjaro
Arch Linux
Debian
elementary OS
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Qdrant
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Weaviate
pgvecto.rs
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txtai
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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.
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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, Fedora should be more popular than Qdrant. It has been mentiond 124 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.
I am using HP Omen. I easily open it, clean it and change the thermal paste every 3 months (they have detailed guides on YouTube). My laptop had another SSD slot and I upgraded it with a new Samsung 1TB SSD and I am looking to upgrade the RAM from 16 GB to 64GB soon. Since I do not like Windows, I have installed Fedora on it. If I want I can turn in into a Hackintosh and install macOS too. The possibilities are... Source: 11 months ago
You can find the solution at https://getfedora.org /s. Source: about 1 year ago
It looks.. Awesome way better than getfedora.org kudos to the website developers. Source: about 1 year ago
Install Fedora (or one of it's spins. Source: about 1 year ago
Fedoraproject.org is it a legit website or is getfedora.org the only website ? Source: about 1 year ago
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 / 23 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 / about 1 month 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 / 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
Ubuntu - Ubuntu is a Debian Linux-based open source operating system for desktop computers.
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
Manjaro - Manjaro Linux is a linux distribution which is based on arch linux. It uses the PACMAN package manager.
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
