To build LLM apps on company data, retrieval augmented generation (RAG) is essential. With Linq API, you can build RAG not just for textual content, but also for images and tables - in an hour!
Amazing tool. I really liked it though there is some room for improvement. Wish the team all the best.
Report
Thank you Abhishek for your review -- We are always looking for ways to make Linq better. Please feel free to share your thoughts with us, and stay tuned for our future updates! 😀
Report
Framer — Launch websites with enterprise needs at startup speeds.
Launch websites with enterprise needs at startup speeds.
Promoted
Maker
📌
👋 Hello, ProductHunt community!
I’m Jacob, the Founder & CEO of Linq. We’re excited to share Linq’s one-stop-shop RAG solution, which used to be a bespoke vector search service for enterprises like Samsung Insurance but now open to the general public through a single API.
We’ve been serving domain-specific fields such as legal, insurance, and healthcare, understanding that the core of successful B2B LLM apps lies in their accuracy and relevance. All this power is packaged into a single API to be enjoyed by the wider developer community. We hope this could offer a more accessibility to advanced RAG technology.
‘Linq API for RAG’ offers:
✅Instant Implementation: A single API covering all RAG steps from extraction to re-ranking.
✅High Search Accuracy: Get accurate search results with cited sources, thanks to our augmented vector embedding and hybrid search.
✅User-friendly Knowledge Management: Easily manage and edit your knowledge base.
✅Special Multimodal AI Search Capabilities: Our search isn’t limited to texts; it also encompasses images like photos, tables, and screenshots.
How To Use ‘Linq API for RAG’:
1️⃣Upload: Upload documents or connect to your existing apps.
2️⃣Search: Search answers to your queries with cited sources.
3️⃣Generate: Generate texts and freely edit the details.
A quick heads up, Linq API is currently in its early exploration phase of deciding which features to build first - so we’re starting with PDFs for now among the many more integrations to come to help you get the feels of how it works.
We are offering a free trial until the end of 2023! Feel free to try it out! Looking forward to your candid feedback🙂
Report
Congrats on the launch. From the looks of the video, it seems there's a special page for the admin. Is is right?
Report
Maker
@orion_nebula Nice catch! That is indeed the admin page for the main developer, and you'll be able to use it too!
Report
Congrats on the launch!
Love the pain point you're solving for this.
Speaking as a developer, trying to integrate RAG can be real tough and time-consuming.
Report
Congrats on the Launch. Super impressive product. I can already see a number of great use cases. For a number of companies this will be absolutely transformative.
Hey, great job with the launch! Dealing with RAG can be a real pain. I was just wondering, have you thought about connecting it with Slack?
Report
Maker
@turner_jack Hi Jack, Thank you for the suggestion! We are currently working out which features to focus on and yes, Slack is on our list. :)
Report
Congrats on your product launch! I’m particularly excited about Linq’s multimodal AI search capabilities!
Report
Maker
@ella_sullivan Thanks for your support! It's great to see your interest for the multimodal AI search. You're right, there's a lot in documents that isn't text, and we're tackling that.
Excited to share more with you soon – stay tuned!
Report
I’ve tried several vector search solutions over the past few weeks, but none offered image search capabilities. Linq stands out as a straightforward and efficient tool for knowledge searches. Great work, Linq Team!
Report
Maker
@logan_bennett Thank you for your interest and support!! So happy that you are enjoying our work.
