PostgreSQL-18 with pgvector on Ubuntu 24.04 - Supported by Easycloud

This is a repackaged open source software product wherein additional charges apply for technical support with a 24-hour response time. PostgreSQL 18 and pgvector 0.8, built on a minimal Ubuntu 24.04 LTS installation, are included in this AMI, repackaged by Easycloud. It provides a production-grade relational database with native vector similarity search, deliberately engineered to power AI embeddings, semantic search, and RAG workloads alongside your transactional data.

• Ubuntu 24.04 LTS Minimal: A renowned Linux distribution celebrated for its exceptional stability, vast software repository, and strict adherence to open-source principles. Built on the solid foundation of Debian, it provides unparalleled ecosystem compatibility while delivering a clean, bloat-free, and secure enterprise-grade core.

• PostgreSQL 18 with pgvector 0.8: The latest major release of the world's most advanced open-source relational database, installed from the official PGDG repository, paired with the pgvector extension for vector data types and similarity search. The vector extension is pre-enabled in the template database, so every database you create automatically supports embeddings out of the box.

• Native Vector Search for AI Workloads: pgvector adds vector columns, exact nearest-neighbor search, and approximate indexes (HNSW and IVFFlat) directly inside PostgreSQL, so embeddings live next to your relational data in one ACID-compliant engine. This removes the need for a separate vector database in most RAG, semantic search, and recommendation architectures.

• The Ultimate Relational and Vector Data Store: By starting with a bloat-free Ubuntu 24.04 LTS installation, maximum CPU and memory are dedicated entirely to the PostgreSQL engine. This makes it the perfect, conflict-free foundation for transactional applications built with Django, Spring Boot, FastAPI, Node.js, and Python, including ORM stacks such as Hibernate, Prisma, and SQLAlchemy. It seamlessly integrates with AI and RAG pipelines (PyTorch, Hugging Face, Dify, RAGFlow, or as an alternative to standalone Milvus and Chroma deployments), pairs naturally with adjacent data layers (Redis, Elasticsearch, MySQL, MariaDB), and serves as a rock-solid backbone for analytics and platform tooling (Metabase, Grafana, Supabase, Docker, Kubernetes), ensuring your data infrastructure scales without limits.

• Production Ready & Expert Support: Secured with the latest OS patches. It delivers a highly stable environment, fully supported by comprehensive documentation and fast technical assistance (guaranteed 24-hour response time) to ensure your infrastructure runs smoothly without costly downtime.