SciPhi Launches: Build, deploy, and optimize AI retrieval

By
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February 9, 2026

SciPhi recently launched!

Launch YC: SciPhi - Build, deploy, and optimize AI retrieval
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"An open source platform that enables developers to build the best RAG system."

SciPhi is a cloud platform that simplifies the deployment and optimization of production-ready Retrieval-Augmented Generation (RAG) pipelines for developers. Built on top of the robust open source R2R framework, SciPhi enables builders to focus on creating innovative applications rather than managing infrastructure.
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Founded by
Owen Colegrove


SciPhi Cloud Demo ⤵️
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The Problem

RAG is fundamentally a search problem, and search at scale is hard. While deploying a basic RAG pipeline is relatively straightforward, scaling it to meet the diverse needs of a growing user base and/or dataset presents significant challenges. As indexed data grows, query times can slow down, leading to a diminished user experience. Further, different users will have varying complaints about system performance, depending on their specific use case and data set.

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📦 SciPhi's Solution‍

  • Seamless deployment of RAG pipelines to the cloud in just a few clicks
  • Customizable configurations via an intuitive config.json file to specify vector DB, embedding settings, LLMs, etc.
  • Secure secret management to encrypt and store API keys and other sensitive info
  • Automatic scaling to handle increased traffic and data volumes as your app grows
  • Built-in monitoring, logging, and A/B testing to gain insights and optimize performance
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Image Credits: SciPhi

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Learn More
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🌐 Visit sciphi.ai to learn more
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🚀 Sign up for early access at
app.sciphi.ai/login
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💬 Join their
Discord community to connect with other RAG enthusiasts
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⭐ Check out the
R2R Github repository and leave them a star

🙌 Share
this post with developers and teams looking to harness RAG in production
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👥 Follow SciPhi on
LinkedIn & X