SpRAG – Open-source RAG implementation for challenging real-world tasks
Hey HN, I’m Zach from Superpowered AI (YC S22). We’ve been working in the RAG space for a little over a year now, and we’ve recently decided to open-source all of our core retrieval tech. spRAG is a retrieval system that’s designed to handle complex real-world queries over dense text, like legal documents and financial reports. As far as we know, it produces the most accurate and reliable results of any RAG system for these kinds of tasks. For example, on FinanceBench, which is an especially challenging open-book financial question answering benchmark, spRAG gets 83% of questions correct,…
SpRAG – Open-source RAG implementation for challenging real-world tasks launched on May 2, 2024 with 69 votes, #602 of 4,539 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
SpRAG is an open-source retrieval-augmented generation system designed to handle complex queries over dense text documents like legal contracts and financial reports. Built by Superpowered AI, it retrieves information with high accuracy for real-world question-answering tasks. The system achieves 83% accuracy on financial benchmarks, significantly outperforming standard RAG implementations. It is intended for developers and organizations needing reliable information retrieval from challenging document types.
written from the facts on this page · September 2026
From the sources
High-performance retrieval engine for unstructured data - D-Star-AI/dsRAG
In the maker’s words, at launch
Hey HN, I’m Zach from Superpowered AI (YC S22). We’ve been working in the RAG space for a little over a year now, and we’ve recently decided to open-source all of our core retrieval tech. spRAG is a retrieval system that’s designed to handle complex real-world queries over dense text, like legal documents and…
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Source: Show HN post ↗ · launch text quoted in part
