The Stripe Checkout of RAG. Fast, scalable, effortless.
RAG made as easy as Stripe Checkout. Create a customer, connect data, and query. Fully multi-tenant, scalable, and effortless. No infrastructure headaches, just seamless retrieval-augmented generation in minutes. Launch your AI-powered app faster.
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.
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. 🙌
About LiquidIndex 2.0 on Product Hunt
“The Stripe Checkout of RAG. Fast, scalable, effortless.”
LiquidIndex 2.0 launched on Product Hunt on April 10th, 2025 and earned 139 upvotes and 32 comments, placing #5 on the daily leaderboard. RAG made as easy as Stripe Checkout. Create a customer, connect data, and query. Fully multi-tenant, scalable, and effortless. No infrastructure headaches, just seamless retrieval-augmented generation in minutes. Launch your AI-powered app faster.
On the analytics side, LiquidIndex 2.0 competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how LiquidIndex 2.0 performed against the three products that launched closest to it on the same day.
Who hunted LiquidIndex 2.0?
LiquidIndex 2.0 was hunted by KP. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LiquidIndex 2.0 including community comment highlights and product details, visit the product overview.
KP
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. 🙌