Ragie is a fully managed RAG-as-a-Service built for developers, offering easy-to-use APIs/SDKs, instant connectivity to Google Drive/Notion/and more, and advanced features like summary index and hybrid search to help your app deliver state-of-the art GenAI.
Hi Product Hunt! 😸
We're excited to officially launch Ragie on Product Hunt right on the heels of announcing our $5.5M seed round!
So... what is Ragie?
✅ fully managed RAG-as-a-Service for developers
🤖 easy to use APIs and SDKs get you started in minutes
🔁 connectors that keep your application synchronized with data sources like Google Drive, Notion, Confluence and more
Ragie enables developers to build AI applications connected to their own data in record time.
At our core, we are a data ingest pipeline that extracts, chunks and indexes your data when you send us documents. You can send documents via our API or you can simply connect your application using one of our many connectors.
When you are ready to use your chunks for generation, Ragie has a simple retrieval API. Our retrieval API uses re-ranking to make sure that you always get the best chunks and avoid hallucinations in your application. We're also working on hybrid search which should be released next week.
We think one of the benefits of using Ragie is the fact that your application automatically improves as Ragie improves. With Ragie, you can focus on building your application instead of a RAG pipeline.
I'll be in the comments all day and would love to hear what you think!
@foobarfighter Congratulations on your product launch🚀. I admire the design patterns of Ragie, and I believe my background in User centered design aligns well with your team’s needs. Will you be needing a Product Designer to join your amazing team?
Ragie's RAG-as-a-Service platform simplifies GenAI integration for developers, offering seamless connectivity and advanced features to enhance app capabilities. Congratulations on the launch!
Congrats bob and the ragie team. This looks awesome.
Everyone rolling out their own can now just use Ragie.
Very cool product from a super impressive team. Looking forward to following their progress and using the product myself :)
Super excited to see Ragie on PH and out in the wild! @foobarfighter & @mirafiq are truly making RAG an out-of-the-box service. Rockstar team & incredible product.
Check them out in VentureBeat! https://venturebeat.com/ai/ragie...
Congratulations @foobarfighter and team! Incredible product—truly a game changer for engineering teams aiming to stay ahead in the era of GAI!
This looks really awesome. I've been waiting for something like this for a long time.
Great product @foobarfighter
Congrats on your launch and the successful seed round!
This is great! One thing that I don’t know about the location of the craft funding. I feel like that it should be lower, it messes up the flow. I care about the product, not who invests in it. It should be after testimonials
@foobarfighter and team have built the best "RAG-as-a-service" product. One of the best engineering teams we have ever worked with.
Maybe more surprising to hear...
As a venture fund, we use Ragie internally at Chapter One for custom search engine that connects our Google Suite & other internal data to LLMs.
So we are 2x believers... we invested and our developers actually use & love the product!
Congrats @foobarfighter and @mirafiq!!! Exited to continue to use the product 🔥🔥🔥. I was able to get another full end to end internal search applications up and running in less than two hours!!
I appreciate the focus on improving the AI application with features like re-ranking and hybrid search. This should enhance the accuracy and relevance of generated results
I am impressed by how this service simplifies integrating data sources like Google Drive and Notion into AI applications. The automatic syncing feature is a real plus!
I’ve seen similar features in other services, but the focus on seamless data syncing and advanced retrieval here seems particularly well-excuted
I enjoyed checking out the demo. The integration capabilities and retrieval API are impressive additions.
