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Graph RAG vs vector RAG: 3 differences, pros and cons, and how to choose

Vector RAG uses dense vector embeddings and similarity search to retrieve information from large, unstructured text corpora, excelling in general-purpose knowledge retrieval.

OpenSearch vector search: The basics and a quick tutorial [2026 guide]

OpenSearch provides robust capabilities for vector search, enabling the storage, indexing, and search of high-dimensional vector embeddings. This functionality is crucial for modern AI and machine learning applications that rely on similarity-based retrieval.

OpenSearch semantic search: The basics and a quick tutorial [2026 guide]

Semantic search in OpenSearch goes beyond simple keyword matching by focusing on the context and intent behind a user's query.

Best managed PostgreSQL solutions for developers: Top 5 in 2026

Managed PostgreSQL solutions offer developers a way to use PostgreSQL without the overhead of database administration. These cloud-based services handle tasks like installation, configuration, updates, backups, scaling, and security, allowing developers to focus on application development.

pgvector: Key features, tutorial, and pros and cons [2026 guide]

pgvector is an open source extension for PostgreSQL that enables the storage, querying, and indexing of high-dimensional vectors within a PostgreSQL database. It effectively transforms PostgreSQL into a vector database, allowing users to perform vector similarity searches.

Best managed PostgreSQL tools: Top 5 options in 2025

Managed PostgreSQL tools refer to software applications and platforms designed to simplify the administration, development, and monitoring of PostgreSQL databases, particularly within a managed service environment (e.g., cloud-based managed PostgreSQL offerings).

Best managed PostgreSQL platforms: Top 5 providers in 2025

Managed PostgreSQL platforms are cloud-based database services that handle administrative tasks like setup, backups, security, and scaling, allowing users to focus on application development rather than database management.

Vector database vs. Relational database: 7 key differences

Vector databases and relational databases differ fundamentally in their data models, storage mechanisms, and primary use cases.

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