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Open-source agentic RAG platform prioritizes config over code

An open-source platform for agentic RAG in customer support has been developed, emphasizing configuration over code for easier updates. The design prioritizes an intent router to efficiently direct queries, reserving complex agent loops for more challenging requests. Key components include an LLM, MCP servers for tool integration, a vector database, and a document pipeline, with a strong recommendation to implement evaluation early in the development process. AI

IMPACT This platform offers a configurable approach to building AI-powered customer support, potentially reducing development overhead and improving maintainability.

RANK_REASON The article describes the design and implementation of a specific software tool, an open-source agentic RAG platform.

Read on dev.to — MCP tag →

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COVERAGE [1]

  1. dev.to — MCP tag TIER_1 English(EN) · Ahmet Özel ·

    Designing a config-driven agentic RAG platform for customer support

    <p>Customer support is one of the few places where RAG and agents earn their keep immediately: the questions are real, the knowledge changes constantly, and a wrong answer has a cost. I built an open-source agentic RAG platform for support automation, and the design choice I keep…