Tags: #cloud-native

Your ultimate Go microservices framework for the cloud-native era, offering robust capabilities to build bulletproof applications.

A high-performance, cloud-native vector database built for scalable Approximate Nearest Neighbor (ANN) search and AI applications.

Nacos is an easy-to-use platform for dynamic service discovery, configuration management, and service health checks, essential for building cloud-native and microservices applications.

An open-source, cloud-native vector database enabling semantic search at scale by combining vector similarity with structured filtering and integrated AI models.

A comprehensive, cloud-native, one-stop platform for machine learning, deep learning, and large language model development, covering the entire MLOps lifecycle.

A unified, open-source enterprise data warehouse built in Rust, offering analytics, vector search, and full-text search, specifically designed for AI agents with secure Python UDF sandboxes.

A cloud-native distributed vector database designed for efficient similarity search of embedding vectors in AI applications.

Orchestrates complex business processes across people, systems, and devices, offering scalable, on-demand process automation.

A cloud-native framework for building, deploying, and scaling multimodal AI applications and services with gRPC, HTTP, and WebSockets.

Apache DolphinScheduler is a modern, low-code data orchestration platform designed for agile creation of high-performance workflows and managing complex data pipeline dependencies.

Quickwit is a cloud-native, open-source search engine designed for high-performance observability data (logs, traces, metrics) with sub-second queries on cloud storage.