Jina

Open-source SDK from Microsoft that enables developers to build AI agents and integrate LLMs into applications with support for multi-agent orchestration, function calling, and memory management across C#, Python, and Java.

Open-source database that turns any DB into a vector DB with AI capabilities.

System that coordinates multiple AI agents to work together on complex tasks, managing task distribution, parallel execution, and result synthesis. Key component in ASMR and other multi-agent systems.

Agent orchestration pattern used by Emergence AI that plans tasks, executes with specialized agents, and verifies results to achieve reliable autonomous workflow automation.

Modular agent coordination patterns in AG2 allowing developers to swap orchestration logic without changing agent code, enabling flexible multi-agent workflows.

An information retrieval approach using dense vector representations (embeddings) to encode queries and documents. Unlike sparse methods like BM25, dense retrieval captures semantic meaning in continuous vector spaces, enabling neural search and forming the foundation of modern RAG systems.