Linq
Build Search Engine for Texts, Images, and Beyond In 1 Hour!
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Linq - Build search engine for texts, images and beyond In 1 hour

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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!

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Maker
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👋 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🙂
Congrats on the launch. From the looks of the video, it seems there's a special page for the admin. Is is right?
Maker
Nice catch! That is indeed the admin page for the main developer, and you'll be able to use it too!
Congrats on your product launch! I’m particularly excited about Linq’s multimodal AI search capabilities!
Maker
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!
Big congrats to the Linq team on an impressive launch! Your approach to simplifying data search is fantastic, and the API works great with PDFs!
Maker
Hey Ethan! Really appreciate your time for trying our API and sharing your thoughts! Great to hear it's smooth with PDFs. Any suggestions for enhancements are always welcome!
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!
Maker
Thank you for your interest and support!! So happy that you are enjoying our work.
Hi Jacob, Congratulations on your launch! I’ll try it out and leave a comment!
Maker
Thank you Sophia! Likewise, if you know anyone else who may be interested please share :)
This is pretty cool. Most of the documents I've got are already loaded up with a bunch of tables and charts.
Maker
Thank you for your interest! Yes, that is not a problem. :) We have optimized Linq with those types of data in mind.
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?
Maker
Hi Jack, Thank you for the suggestion! We are currently working out which features to focus on and yes, Slack is on our list. :)
This is super quick, great product.
As an LLM app builder, I’m impressed with the image search feature. Great launch, Linq!
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