Linq

Linq

Build Search Engine for Texts, Images, and Beyond In 1 Hour!

5.0
1 review

242 followers

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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Linq gallery image
Linq gallery image
Linq gallery image
Linq gallery image
Linq gallery image
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Launch Team
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The intelligent workflow platform
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What do you think? …

Jacob Choi
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🙂
Orion Nebula
Congrats on the launch. From the looks of the video, it seems there's a special page for the admin. Is is right?
Jacob Choi
@orion_nebula Nice catch! That is indeed the admin page for the main developer, and you'll be able to use it too!
Ella Sullivan
Congrats on your product launch! I’m particularly excited about Linq’s multimodal AI search capabilities!
Jacob Choi
@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!
Ethan Stewart
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!
Jacob Choi
@ethan_stewart 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!
Logan Bennett
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!
Jacob Choi
@logan_bennett Thank you for your interest and support!! So happy that you are enjoying our work.
Sophia Mitchell
Hi Jacob, Congratulations on your launch! I’ll try it out and leave a comment!
Jacob Choi
@sophia_mitchell1 Thank you Sophia! Likewise, if you know anyone else who may be interested please share :)
ava parker
This is pretty cool. Most of the documents I've got are already loaded up with a bunch of tables and charts.
Jacob Choi
@ava_parker1 Thank you for your interest! Yes, that is not a problem. :) We have optimized Linq with those types of data in mind.
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