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Linq — Build search engine for texts, images and beyond In 1 hour
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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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🙂
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I'm excited to see your project featured. Best wishes for continued success and innovation!
Maker
@juhwan_kim Means a lot coming from you, thank you for supporting our work Danny! :)
Congratulations on your launch! 🚀 The product looks great, and I like the idea of the Linq API providing RAG. Wishing you luck! 🙌
Congratulations on this launch, Jacob! One notable strength that I believe will be incredibly useful is the 'User-friendly Knowledge Management.' Being able to easily manage and edit the knowledge base can help me in my research, making information retrieval and organization more efficient. Excited to see how Linq evolves. Good luck!
Wow! Congrats on your first launch! Your API looks like it will save those developers a lot of time!
Strengths:
Clear value proposition: Highlights the core benefit - building search engines in 1 hour.
Target audience: Mentions "LLM apps" and "company data," appealing to developers and data scientists.
Intriguing: "Retrieval augmented generation" sparks curiosity about the technology.
Unique aspects:
Maker
@kshitij_mishra4 Thanks for pointing out what makes Linq special! We're really glad you see the value in building search engines quickly and how it fits for LLM apps and data work.
Don't forget to explore our retrieval augmented generation – it's key for building LLMs with your data. Thanks for the support!
This is pretty cool. Most of the documents I've got are already loaded up with a bunch of tables and charts.
Maker
@ava_parker1 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
@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. :)
Congrats on the launch. From the looks of the video, it seems there's a special page for the admin. Is is right?
Maker
@orion_nebula Nice catch! That is indeed the admin page for the main developer, and you'll be able to use it too!
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.
Congrats on your product launch! I’m particularly excited about Linq’s multimodal AI search capabilities!
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!
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
@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!