Buddy is a smart CI/CD tool for web developers designed to lower the entry threshold to DevOps.
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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, Weaviate should be more popular than Buddy. It has been mentiond 28 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 / about 1 month 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
Weaviate: An open-source, cloud-native vector database built for scalable and fast vector searches. It's particularly effective for semantic search applications, combining full-text search with vector search for AI-powered insights. - Source: dev.to / 3 months ago
Weaviate is an open-source vector search engine with out-of-the-box support for vectorization, classification, and semantic search. It is designed to make vector search accessible and scalable, supporting use cases such as semantic text search, automatic classification, and more. - Source: dev.to / 3 months ago
Congrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really. - Source: Hacker News / 4 months ago
A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving... - Source: dev.to / 5 months ago
To find semantically similar texts we need to calculate the distance between vectors. While we have just a few short texts we can brute-force it: calculate the distance between our query and each text embedding one by one and see which one is the closest. When we deal with thousands or even millions of entries in our database, however, we need a more efficient way of comparing vectors. Just like for any other way... - Source: dev.to / 6 months ago
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