CircleCI Reviews

Weaviate Reviews

CircleCI mentions (64)

• How to secure Python Flask applications

  In addition, Snyk can be easily integrated with various IDEs, including Visual Studio Code and PyCharm, as well as CI pipelines, such as Jenkins, CircleCI, and Maven, and workflows. - Source: dev.to / 10 days ago

• Github Actions to deploy your Terraform code

  Github Actions has many competitors in its category that allow you to run all kinds of code running on containers, such as Gitlab, Jenkins, CircleCI, etc. - Source: dev.to / 11 days ago

• Automated delivery React / Vue app for each Pull Request.

  It will give you a possibility to find and solve problems faster, release more stable and higher quality products. Here we will use CircleCI, but you can use whatever you need (Jenkins, Travis CI, GitLab CI). - Source: dev.to / 18 days ago

• Most Useful CI/CD Tools for DevOps

  CircleCI is a leading cloud-native CI/CD platform that empowers developers to rapidly build, test, and deploy their applications at scale. It is highly configurable and has rich integrations and performance optimization tools. These features have made it a favorite among modern development teams seeking agility and speed. - Source: dev.to / about 2 months ago

• The Essential Guide to Internal Developer Platforms

  For instance, IDPs can automatically trigger a deployment process in Jenkins or CircleCI when a developer pushes code to a Git repository. - Source: dev.to / 3 months ago

Weaviate mentions (28)

• How to choose the right type of database

  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

• 7 Vector Databases Every Developer Should Know!

  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 / 4 months ago

• Qdrant, the Vector Search Database, raised $28M in a Series A round

  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

• How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era

  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

• Make Notion search great again: Vector Database

  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 / 7 months ago