Openrag
OpenRAG is a framework developed by IBM for constructing agentic retrieval-augmented generation (RAG) systems. The framework was publicly explained and promoted by IBM Developer Relations Engineer David Jones-Gilardi. It enables developers to build AI systems that combine language models with information retrieval capabilities, allowing agents to access and reason over external data sources dynamically.
Context and Positioning
As of 2026, OpenRAG exists within a broader ecosystem of RAG frameworks and tools. Notes from that period indicate comparative cost considerations, with OpenClaw cited as a potentially expensive alternative. OpenRAG’s place in the market reflects IBM’s investment in making agentic AI systems more accessible to enterprise developers.
- 2026-04-10 2026-04-10-OpenClaw-Autonomous-AI-Agent-Setup-Configuration-and-Advanced ← Openclaw Autonomous Ai Agent Setup Configuration And Advanced
- 2026-04-07 2026-04-07-OpenClaw-Autonomous-AI-Agent-Setup-Configuration-and-Advanced ← Openclaw Autonomous Ai Agent Setup Configuration And Advanced
- 2026-04-08 2026-04-08-OpenClaw-Autonomous-AI-Agent-Setup-Configuration-and-Advanced ← Openclaw Autonomous Ai Agent Setup Configuration And Advanced