LiquidIndex

Hey Product Hunters! 👋

I’m Karthik, founder of LiquidIndex, a fully managed platform that makes integrating AI search as easy as Stripe Checkout.

Super excited to share this with you all today, and massive thanks to @thisiskp_ for hunting us! 🙏

LiquidIndex helps developers add RAG (retrieval-augmented generation) to their apps in just a few minutes—with no need to build ingestion pipelines, deal with vector DB configs, or glue together a dozen tools. It’s built to make retrieval feel like a native part of your app, not a backend burden.

Here’s what makes LiquidIndex different:

⚡ 3 API calls to production-ready AI search

Create a tenant, upload data, and query. That’s it.

🔁 Multi-tenant by design

Each customer’s data is isolated, indexed, and optimized for fast, scalable retrieval.

📥 Managed ingestion pipeline

We handle file parsing, chunking, metadata, and syncing—so you don’t have to.

🔌 Multiple data sources

Currently supports file uploads and Google Drive, with Notion, Dropbox, and S3 on the way.

⚙️ Customizable internals

Choose your vector DB, your embedding model, and more—no vendor lock-in.

📊 Query playground + clean developer dashboard

Play with your data, test your queries, and manage tenants with ease.

We’re currently in beta and onboarding teams!

You can try it now at liquidindex.dev

🎉 Launch Special:

Use code LQX410 to get the Pro Plan for $10 your first month (originally $25/month).

We’ve spent the last few months refining the core architecture, polishing the experience, and preparing for scale. Now, we’re excited to get it into more hands.

If you’re building AI apps and want a simpler way to handle search, I’d love to hear what you think. Feedback, questions, ideas—drop them below or DM me anytime. Let’s build better infra together. 🙌

Hey PH friends! 👋

I'm thrilled to introduce LiquidIndex to the Product Hunt community today! 🚀

Ever try adding AI search to your app and end up drowning in vector databases, embedding models, and ingestion pipelines? LiquidIndex is the lifeline you've been waiting for.

This is RAG for developers who want to build features, not infrastructure. With just 3 API calls, you can give your users the kind of intelligent search they expect in 2025.

What makes LiquidIndex special:

• ⚡ Production-ready AI search in minutes, not weeks

• 🔁 Multi-tenant architecture that scales with your user base

• 📥 Fully managed ingestion that just works (goodbye chunking nightmares!)

• 🧩 No vendor lock-in – customize what matters, forget the rest

I recently got a chance to see the demo and hear from LiquidIndex founder @karthik_kandikonda and was blown away by how seamlessly it handles the entire pipeline. The developer experience is refreshingly straightforward – it's like Stripe Checkout for AI search.

Whether you're building a knowledge base, document search, or customer support bot, LiquidIndex lets you focus on your product instead of wrangling vector databases.

Try it out and drop your thoughts below! LiquidIndex team is here today to answer questions and collect feedback. 💬

P.S. Don't miss their launch price of $10 for your first month (with the code LQX410) 🎉

@karthik_kandikonda Huge congratulations on this launch! Making RAG this seamless and developer-friendly is a massive achievement. Excited to see how this powers the next wave of AI apps!

@karthik_kandikonda A huge— Congratulations on your launch man! @thisiskp_ great hunting boss 💪

Wow it's really helpful.

Awesome launch, congrats! I may have overlooked on the site, does LiquidIndex offer API to manage a large volume of data? It seems more on a file-by-file basis.

Loving this! Looking forward to seeing more apps starting to use RAG and this will definitely accelerate the process!!