
SciPhi
One-click RAG deployment for developers
SciPhi launched on March 29, 2024 with 255 votes, #176 of 4,270 launches that month and more than 95% of that year's launches.
In plain words
SciPhi is a cloud platform that enables developers to build and deploy serverless RAG (Retrieval-Augmented Generation) pipelines with one click. Built on the open source R2R framework, it handles infrastructure management so developers can concentrate on creating AI applications. The platform is designed for developers working with artificial intelligence who want to reduce operational complexity.
written from the facts on this page · September 2026
From the sources
SciPhi is a cloud platform for developers that simplifies building and deploying serverless RAG pipelines. Built with the open source R2R framework, it enables developers to focus on innovative AI applications rather than infra management.
Does a similar job
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R2R – Open-source framework for production-grade RAG2024 · github.com · ▲167Hello HN, I'm Owen from SciPhi (https://www.sciphi.ai/), a startup working on simplifying˛Retrieval-Augmented Generation (RAG). Today we’re excited to share R2R (https://github.com/SciPhi-AI/R2R), an open-source framework that makes it simpler to develop and deploy production-grade RAG systems. Just a quick reminder: RAG helps Large Language Models (LLMs) use current information and specific knowledge. For example, it allows a programming assistant to use your latest documents to answer questions. The idea is to gather all the relevant information…
R2R V2 – A open source RAG engine with prod features2024 · github.com · ▲251Hi HN! We're building R2R [https://github.com/SciPhi-AI/R2R], an open source RAG answer engine that is built on top of Postgres+Neo4j. The best way to get started is with the docs - https://r2r-docs.sciphi.ai/introduction. This is a major update from our V1 which we have spent the last 3 months intensely building after getting a ton of great feedback from our first Show HN (https://news.ycombinator.com/item?id=39510874). We changed our focus to building a RAG engine instead of a framework, because this is what developers asked for the most.…



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