Cooper Pet Care
RMRK
Welder
Reflect.run
Amazon EKS
Ghost Inspector
Metabase
Meltano
Qdrant
Milvus
Weaviate
pgvecto.rs
Vespa.ai
txtai
Zilliz
ElasticSearch
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, Qdrant should be more popular than Cooper Pet Care. It has been mentiond 38 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.
Cooper Pet Care | Business Developer, Content Writers | REMOTE (EU) or Amsterdam, the Netherlands | VISA Sponsorship Available | https://cooperpetcare.com/ Cooper Pet Care is the leading telehealth veterinary provider in the Netherlands. * Business Developer: Help us expand our distribution channels. You will be at the front of the company and will have the dedication to create and apply an effective sales... - Source: Hacker News / 8 months ago
Cooper Pet Care | Head of BizDev, Writers | REMOTE (EU) or Amsterdam, the Netherlands | VISA Sponsorship Available | https://cooperpetcare.com/ Cooper Pet Care provides instant access to vet support via chat or video call as well as honest pet insurance with fair and transparent terms. * Business Developer: Help us expand our distribution channels. You will be at the front of the company and will have the... - Source: Hacker News / over 1 year ago
But since all our services/applications are running in a Kubernetes cluster on Amazon EKS at Cooper Pet Care, the IP addresses in the end applications are local addresses within the cluster. It is impossible to determine the real location of customers from them. - Source: dev.to / over 1 year ago
Cooper Pet Care is a pet healthcare platform for pet parents of today. We're looking for an ambitious and energetic Head of Business Development to help us expand our distribution channels. You will be at the front of the company and will have the dedication to create and apply an effective sales strategy. You will work closely with company founders and will have a first-hand opportunity to shape and define the... - Source: Hacker News / over 2 years 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 / 4 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 / 11 days 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 1 month ago
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb. - Source: Hacker News / about 2 months ago
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance. - Source: dev.to / 2 months ago
RMRK - RMRK is the most advanced NFT system in existence.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Welder - Record high-quality content for your startup remotely
Weaviate - Welcome to Weaviate
Reflect.run - Reflect is automated web testing that anyone can use. It requires no code, and no installation. Record once, run anytime.
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs
