Docker
Kubernetes
Google App Engine
Apache Karaf
Heroku
Amazon S3
Amazon ECS
AWS Elastic Beanstalk
Weaviate
Qdrant
Milvus
Pinecone
Zilliz
Vespa.ai
txtai
Redis
Docker
WeaviateBased on our record, Docker should be more popular than Weaviate. It has been mentiond 80 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.
Cloud Run (GCR) -- the latest serverless platform; OCI-compliant containers (Docker, Buildpacks, etc.) Cloud Functions (GCF) -- originally serverless functions to compete with AWS Lambda; latest generation rebranded as Cloud Run Functions. - Source: dev.to / 8 months ago
One of the best benefits of Docker is that it helps you make your software multi-environment friendly, so you can use the same (or similar) config from local dev to production. Having a Dockerfile for every environment kind of defeats the purpose. Optimizing it means using env vars and keeping the overall architecture more abstract. - Source: dev.to / 10 months ago
Before we begin, ensure you have Docker installed on your system. You can download it from Docker's official website. - Source: dev.to / 11 months ago
You can use Docker to spin up an instance of WordPress on your local computer and in the cloud. But does it make sense to use WordPress in Docker? - Source: dev.to / about 1 year ago
Ghost is an open source blogging and newsletter platform designed for professional publishers. In this guide, I want to show you, how you can spin up and deploy your own instance of Ghost using Docker and Sliplane. - Source: dev.to / about 1 year ago
Knowledge-base RAG. The agent retrieves runbooks and past postmortems using hybrid search (BM25 plus dense vectors). Aurora documents a Weaviate hybrid index. The leading commercial AI SREs all integrate Confluence and ticket systems. - Source: dev.to / 3 months ago
Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 4 months ago
For those prioritizing flexibility, the RAG Engine also supports third-party options like Pinecone and Weaviate. These are excellent choices if portability is a requirement, allowing you to maintain a consistent vector store even if you decide to shift parts of your RAG stack to a different cloud provider or platform later on. - Source: dev.to / 4 months ago
Weaviate Homepage - Main website with product information and getting started guides. - Source: dev.to / 4 months ago
Code Explanation: In this example, the user_memory dictionary acts as a mock database. When the personalized_agent function is called, the first thing it does is a "Memory Check." It looks up the user ID to see if there are any saved preferences. Because it finds that the user prefers Rust, it automatically adjusts its output without the user needing to specify the language again. In a real application, you would... - Source: dev.to / 4 months ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Apache Karaf - Apache Karaf is a lightweight, modern and polymorphic container powered by OSGi.
Pinecone - Search through billions of items for similar matches to any object, in milliseconds. Itโs the next generation of search, an API call away.