SciPhi - Build, deploy, and optimize AI retrieval

TL;DR: 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.

SciPhi Cloud Demo

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.

📦 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 

Meet the Founder

SciPhi was founded by Owen (CEO), who brings a unique perspective to the world of RAG. With a PhD in particle physics and experience creating quantitative research strategies at Citadel, Owen understands the challenges of working with large-scale data systems. As a second-time founder, he grew frustrated by the lack of tooling available to optimize RAG pipelines while building an open-source semantic search engine+agent. This experience started him on the path to creating SciPhi.

Our Ask

• 🚀 Sign up for early access at app.sciphi.ai/login
• 💬 Join our Discord community to connect with other RAG enthusiasts
• ⭐ Check out the R2R Github repository and leave us a star
• 🙌 Share this post with developers and teams looking to harness RAG in production

We're on a mission to empower developers to build state-of-the-art RAG pipelines. If that resonates, come build the future with us! Reach out to founders@sciphi.ai to chat.