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Agents specifically configured to query and synthesize information from document stores.
Distinguishing note: Focuses on retrieval-specific agents, distinct from general-purpose agents.
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Flowise is a low-code platform designed for building and deploying complex language model workflows through a visual, node-based interface. It functions as an orchestrator for autonomous multi-agent systems, allowing users to construct conversational pipelines by connecting language models, memory stores, and external tools on a drag-and-drop canvas. The platform distinguishes itself through its support for sophisticated agentic patterns, including supervisor-worker delegation and iterative reasoning strategies. Users can design directed acyclic graphs to manage conditional branching, state p
Connects document stores to language models for accurate information retrieval.