Buddy is a smart CI/CD tool for web developers designed to lower the entry threshold to DevOps.
FEATURES:
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.
I have around two years when met buddy for my personal projects. I found it intuitive and great. I almost can set up pipelines with closed eyes. It helped me with development and learning. I recommend also startups and mature projects.
Buddy works is the most awesome automating CI application, it lets you deploy sites at the best convenience. It also automatically detects the type of language your application uses and gives you the recommendation regarding the commands which should be executed
I have a eCommerce company and the Buddy helps us to delivery all projects and maintain the our platform updated. The Buddy is easy to implements and easy to operate, definitively, the best solution
Based on our record, Qdrant should be more popular than Buddy. It has been mentiond 37 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.
Buddy CI/CD is an automation platform designed to streamline and accelerate software development and deployment processes. By emphasizing simplicity and efficiency, Buddy offers an intuitive UI that allows teams to set up, monitor, and execute pipelines with minimal friction. - Source: dev.to / 17 days ago
We switched to buddy.works[0] about a year ago and honestly it’s just been… smooth. The UI is just great, the wealth and breadth of options is ever increasing and all the basics like knowing what went wrong, restarting, debugging, duplicating etc just work as you’d expect. One of the few companies I can recommend. [0] https://buddy.works. - Source: Hacker News / about 2 years ago
For continuous integration, we are using Buddy delivery pipelines which allow us to build, test and deploy applications on a single push to a specific git branch. It helps us to reduce the manual overhead of deploying code to the server and handle all the actions automatically. - Source: dev.to / over 2 years ago
Buddy.works — A CI/CD with 5 free projects and 1 concurrent runs (120 executions/month). - Source: dev.to / almost 3 years ago
That is when we found out about Buddy. Buddy is one of those easy DIY devops tools out there. Best part is the UI and how easy it is to create a deployment pipeline. - Source: dev.to / almost 3 years 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 / 4 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 / 26 days 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
Qdrant is an open-source vector search engine optimized for performance and flexibility. It supports both exact and approximate nearest neighbor search, providing a balance between accuracy and speed for various AI and ML applications. - Source: dev.to / 3 months ago
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