Qdrant
Milvus
Weaviate
pgvecto.rs
Vespa.ai
txtai
Zilliz
ElasticSearch
Sketch
Figma
Inkscape
Affinity Designer
Adobe Illustrator
Adobe Photoshop
Adobe XD
Invision
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.
Qdrant SketchNo features have been listed yet.
No Qdrant videos yet. You could help us improve this page by suggesting one.
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, Qdrant seems to be a lot more popular than Sketch. While we know about 40 links to Qdrant, we've tracked only 3 mentions of Sketch. 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.
Vector Databases: Qdrant for efficient data storage and retrieval. - Source: dev.to / 6 days 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 / about 1 month 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 2 months 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 2 months 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
Start by building the PDF version, as that's easier. I use Sketch (sketch.com) for designing layout. Source: over 1 year ago
This TG-16 controller was originally drawn in Fireworks CS4 waaaaaay back in the day, but I re-drew it by hand using simple shapes and effects in Sketch and Figma. Source: almost 2 years ago
Every designer has to choose their preferred design tool where they can implement their prototypes.Try Figma, Sketchand Adobe XD. These are the main tools, try each and find your favorite, as for me I love Figma(Very good in collaboration). - Source: dev.to / over 2 years ago
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
Weaviate - Welcome to Weaviate
Inkscape - Inkscape is a free, open source professional vector graphics editor for Windows, Mac OS X and Linux.
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
Affinity Designer - Professional creative software, exclusively for Mac.
