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Compound AI applications chain together subcomponents such as generative language models, document retrievers, and embedding models.
Parallel database systems: the future of high performance database systems
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Harrison Chase. 2022 · 2022
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LlamaIndex
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ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 3715–3734
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Self-Consistency Improves Chain of Thought Reasoning in Language Models. In The Eleventh International Conference on Learning Representations
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ReAct: Synergizing Reasoning and Acting in Language Models. In The Eleventh International Conference on Learning Representations
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Graph of thoughts: Solving elaborate problems with large language models
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Complex Claim Verification with Evidence Retrieved in the Wild
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Chain-of-Verification Reduces Hallucination in Large Language Models
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Autogen: Enabling next-gen llm applications via multi-agent conversation framework
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Tree of thoughts: Deliberate problem solving with large language models
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Efficiently Programming Large Language Models using SGLang
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INFERCEPT: efficient intercept support for augmented large language model inference. In Proceedings of the 41st International Conference on Machine Learning (Vienna, Austria) (ICML’24) . JMLR.org, Article 3, 15 pages
Reyna Abhyankar, Zijian He, Vikranth Srivatsa, Hao Zhang, and Yiying Zhang. 2024 · 2024
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Taming throughput-latency tradeoff in LLM inference with sarathi-serve. In Proceedings of the 18th USENIX Conference on Operating Systems Design and Implementation (Santa Clara, CA, USA) (OSDI’24) . USENIX Association, USA, Article 7, 18 pages
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Cloud Actor-Oriented Database Transactions in Orleans
Tamer Eldeeb, Sebastian Burckhardt, Reuben Bond, Asaf Cidon, Junfeng Yang, and Philip A. Bernstein. 2024 · 2024
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RAGServe: Fast Quality-Aware RAG Systems with Configuration Adaptation
Siddhant Ray, Rui Pan, Zhuohan Gu, Kuntai Du, Ganesh Ananthanarayanan, Ravi Netravali, and Junchen Jiang. 2024 · 2024
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Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , Kevin Duh, Helena Gomez, and Steven Bethard (Eds.). Association for Computational Linguistics, Mexico City, Mexico, 6252–6278
Yijia Shao, Yucheng Jiang, Theodore Kanell, Peter Xu, Omar Khattab, and Monica Lam. 2024 · 2024
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Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution
Yechen Xu, Xinhao Kong, Tingjun Chen, and Danyang Zhuo. 2024 · 2024
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The Shift from Models to Compound AI Systems
Matei Zaharia, Omar Khattab, Lingjiao Chen, Jared Quincy Davis, Heather Miller, Chris Potts, James Zou, Michael Carbin, Jonathan Frankle, Naveen Rao, and et al. 2024 · 2024
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Towards Resource-Efficient Compound AI Systems
Gohar Irfan Chaudhry, Esha Choukse, Íñigo Goiri, Rodrigo Fonseca, Adam Belay, and Ricardo Bianchini. 2025 · 2025
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LangGraph
Langgraph Developers. 2025 · 2025
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Towards End-to-End Optimization of LLM-based Applications with Ayo. In Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (Rotterdam, Netherlands) (ASPLOS ’25) . Association for Computing Machinery, New York, NY, USA, 1302–1316
Xin Tan, Yimin Jiang, Yitao Yang, and Hong Xu. 2025 · 2025
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