👋 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?

Congrats on your product launch! I’m particularly excited about Linq’s multimodal AI search capabilities!

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:

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!

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!

Hi Jacob, Congratulations on your launch! I’ll try it out and leave a comment!

This is pretty cool. Most of the documents I've got are already loaded up with a bunch of tables and charts.

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?

This is super quick, great product.

As an LLM app builder, I’m impressed with the image search feature. Great launch, Linq!

Congrats on the API launch, Linq! I have been following your progress and how much you grow RAG is amazing.

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.

Amazing service. Congrats on your launch!

Congrats! Keep up the good work!

Congratulations on your launch! 🚀 The product looks great, and I like the idea of the Linq API providing RAG. Wishing you luck! 🙌

Wow! Congrats on your first launch! Your API looks like it will save those developers a lot of time!

Congratulations, Linq team, on your remarkable launch!

Great Work!

congrats on the launch! I think you are building a gem here. Will definitely use it at some point. Good Luck!