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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Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
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Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
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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 ASP.NET. It has been mentiond 40 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.
Vector Databases: Qdrant for efficient data storage and retrieval. - Source: dev.to / 5 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 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 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
Web Applications: ASP.NET, a powerful framework for building web applications, is primarily based on C#. Developers can create dynamic websites, web APIs, and services with ASP.NET. - Source: dev.to / 14 days ago
The Bold Reporting Tools ASP.NET MVC and ASP.NET Web Forms will no longer be deployed in the embedded build. However, bug fixes are diligently transferred to our public repositories until Microsoft officially announces the end of support for these platforms. For new web application development or to stay up-to-date, Blazor or ASP.NET Core are recommended. - Source: dev.to / about 2 months ago
Sorry for the possibly dumb questions. But then does .NET 5 have a "Model View Controller" workflow? I'm seeing ASP.NET still exists. But it's just "ASP.NET", no "MVC" or "Core" attached to the end. And they seem to recommend Blazor instead of C# which is something I only know the name of. Source: over 1 year ago
Cloud functions run aspnet core under the hood, but since it is a controlled environment it was designed in a way that the only concern you should worry about is running your function so all of the usual boilerplate related to adding services, middleware or enabling features is hidden away from you which for most simple scenarios this is what you will need and in the case of F# where dependency injection is more... - Source: dev.to / over 1 year ago
I'm doing "backend data processing microservices" and the main framework component is ASP. Source: over 1 year ago
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