SciPhi

SciPhi

One-click RAG deployment for developers

272 followers

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SciPhi is a cloud platform for developers that simplifies building and deploying serverless RAG pipelines. Built on top of the open source R2R framework, it enables builders to focus on creating innovative applications rather than managing infra.
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Free
Launch tags:Open Source•Developer Tools•Artificial Intelligence
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Owen Colegrove
R2R
Maker
📌
Exciting news, Product Hunters! 🚀 I'm thrilled to introduce SciPhi – the ultimate cloud platform for Retrieval Augmented Generation (RAG). SciPhi empowers developers to effortlessly build and deploy serverless RAG pipelines with just one click! Built on top of the open-source R2R framework, SciPhi streamlines the entire process, allowing developers to focus on what truly matters – creating innovative applications that push the boundaries of what's possible with AI. Our early users have reported that SciPhi+R2R's streamlined workflow saves them significant time and eliminates the headaches associated with deploying to production and iterating on their RAG pipelines. With SciPhi, you can: ✅ Deploy production-ready RAG pipelines in seconds ✅ Customize your pipeline using intuitive configuration files ✅ Extend your pipeline logic with code ✅ Secure your sensitive data with encrypted secret management ✅ Automatically scale your pipeline as your application grows ✅ Monitor and optimize your system with comprehensive insights We've been working tirelessly to bring you a platform that accelerates the development, deployment, and optimization of RAG pipelines, all without the hassle of managing infrastructure. Whether you're a seasoned developer or just starting your AI journey, SciPhi provides a seamless experience tailored to your needs. But don't just take our word for it – dive into our comprehensive documentation and see for yourself how easy it is to get your RAG solution up and running. Join our vibrant community of developers, researchers, and enthusiasts on Discord, where you can connect with like-minded individuals, get support, and stay up-to-date with the latest advancements in the RAG ecosystem. We can't wait to see the incredible applications you'll build with SciPhi! Share your thoughts, ask questions, and let us know how we can help you make the best RAG pipeline. Happy building! 🛠️
Dimitrie Baitanciuc
Brizy
I'm curious about its ease of use and how it handles complex deployments, good luck
Owen Colegrove
R2R
Maker
@dimitrie_baitanciuc Take it for a spin and let us know how it works for you
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Congrats on the launch @emrgnt_cmplxty 🚀 Does SciPhi support other customization options beyond configuration files for flexibility e.g. script files? All the best with the launch Owen
Owen Colegrove
R2R
Maker
@jgani - To answer your question, yes! I recommend taking a look at the docs core-features, starting here [https://r2r-docs.sciphi.ai/core-...]. Also, there is a SciPhi assistant that can be toggled in the bottom right of the docs / web app that can answer questions such as this. The reply it gave to your prompt above was - ` SciPhi provides customization primarily through the config.json file, where you can specify various settings including vector database providers, embedding settings, language model providers, and more. This file serves as the central point for tailoring your RAG pipeline to your specific needs. Additionally, SciPhi offers a range of RAG pipeline templates that serve as starting points for building RAG pipelines with different capabilities and configurations, which include customization options for vector database provider, evaluation settings, embedding settings, text splitter settings, and language model provider. ... `
Samraaj Bath
ion design
Incredible product, incredible founder, clever name. Super bullish on this!
Owen Colegrove
R2R
Maker
@samraaj_bath1 Thanks Samraaj 🙏
Win Wang
Congrats on launching! Like the UX focus. What are SciPhi's (current) best-supported RAG usecases?
Owen Colegrove
R2R
Maker
@winwang0 So right now there is a basic general pipeline that is very flexible and adaptable, but we haven't invested as much time into specific use cases (yet)! The nice thing is you can plug in logic from any library you want and quickly customize the pipeline to your liking and then send it into production - so in a way this can be complementary with other things like LlamaIndex.
Win Wang
@emrgnt_cmplxty Gotcha, quite interesting, almost like the "Notion" of RAG!
Owen Colegrove
R2R
Maker
@winwang0 Sounds like you get the notion of it :). Another way to think about it, Sciphi+R2R is the Vercel+NextJS of RAG.
Ayan Bandyopadhyay
Dealwise
💡 Bright idea
@emrgnt_cmplxty Congrats on the launch! I actually worked on something similar last year - an open-source deploy RAG to your own cloud tool called RAGStack. The problem we ran into was that while hackers were interested in messing around with it, we couldn't find developers at actual companies that needed a solution to deploy RAG. AI startups viewed it as a core competency and larger companies had teams of ML engineers to work on the problem. What does your ideal customer profile look like at SciPhi?
Owen Colegrove
R2R
Maker
@ayan_bandyopadhyay It's awesome that you worked on something similar, thanks for sharing your experience. I've heard about the graveyard of companies that could not get traction in providing RAG solutions. We are betting that as RAG becomes more and more ubiquitous the market for easier solutions is going to grow rapidly. Right now, our ICP is a developer that needs RAG in production, but who has numerous other concerns around building out their application. They will use SciPhi to get a solution out quickly, and that solution is one that they can customize and iterate on. We are very focused on making sure the developer has full control over selected providers and integrations. E.g. our bet is one that RAG will become boilerplate for many uses cases over time - like so many similar services have (web hosting, authentication, database management).
Ayan Bandyopadhyay
Dealwise
@emrgnt_cmplxty Makes sense, I'd say that's a good long term bet
Nikita Obukhov
Congrats, Owen! Development acceleration efforts are always so valuable, good luck to you and your team! As the founder of a no-code website builder, we'll see if SciPhi comes in handy for our team. In the meantime, if you'd like to wrap your expertise in an eLearning product, you're welcome to check out our course builder 🚀
Owen Colegrove
R2R
Maker
@obukhov_nikita Great, thanks for sharing - will be watching to see if SciPhi's RAG solution ends up fitting into your workflow.
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