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[2602.14710] Orcheo: A Modular Full-Stack Platform for Conversational Search
Summary
Orcheo is an open-source platform designed to streamline conversational search by offering a modular architecture, production-ready infrastructure, and a starter kit of components for rapid development.
Why It Matters
The development of Orcheo addresses significant challenges in conversational search, such as the need for a unified framework and efficient deployment of prototypes. By providing a modular and reusable platform, it enhances collaboration among researchers and accelerates the development of conversational AI applications.
Key Takeaways
- Orcheo provides a modular architecture for component reuse, enhancing collaboration in conversational search research.
- The platform includes production-ready infrastructure that simplifies the transition from prototype to deployment.
- A starter kit with over 50 components allows for rapid development of conversational search pipelines.
Computer Science > Information Retrieval arXiv:2602.14710 (cs) [Submitted on 16 Feb 2026] Title:Orcheo: A Modular Full-Stack Platform for Conversational Search Authors:Shaojie Jiang, Svitlana Vakulenko, Maarten de Rijke View a PDF of the paper titled Orcheo: A Modular Full-Stack Platform for Conversational Search, by Shaojie Jiang and 2 other authors View PDF HTML (experimental) Abstract:Conversational search (CS) requires a complex software engineering pipeline that integrates query reformulation, ranking, and response generation. CS researchers currently face two barriers: the lack of a unified framework for efficiently sharing contributions with the community, and the difficulty of deploying end-to-end prototypes needed for user evaluation. We introduce Orcheo, an open-source platform designed to bridge this gap. Orcheo offers three key advantages: (i) A modular architecture promotes component reuse through single-file node modules, facilitating sharing and reproducibility in CS research; (ii) Production-ready infrastructure bridges the prototype-to-system gap via dual execution modes, secure credential management, and execution telemetry, with built-in AI coding support that lowers the learning curve; (iii) Starter-kit assets include 50+ off-the-shelf components for query understanding, ranking, and response generation, enabling the rapid bootstrapping of complete CS pipelines. We describe the framework architecture and validate Orcheo's utility through case studies th...
