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Designing and testing complex AI agent workflows using a node-based visual interface instead of writing manual code.
Distinct from Visual Programming: Focuses on the high-level logic orchestration of AI agents via nodes, whereas candidates focus on creative media or specific UI canvases.
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OpenRAG is an agentic retrieval-augmented generation framework and containerized stack. It provides a vector search engine for indexing unstructured documents and a Model Context Protocol server that exposes ingestion and semantic search tools to external AI assistants. The system distinguishes itself through a visual AI orchestration interface, allowing users to build retrieval pipelines via a drag-and-drop designer rather than manual code. It utilizes agentic workflows that coordinate multiple agents and re-ranking steps to improve response accuracy, and it allows the definition of agent sk
Provides a node-based visual interface for designing and iterating on complex AI retrieval pipelines.