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. 🙌
Congrats on launching LiquidIndex @karthik_kandikonda! Excited to see a platform that handles ingestion pipelines, vector DB configs, and data syncing for us. How do you handle data security and isolation though?
Congrats on the launch! I do have a few questiosn tho! it seems like this is a wrapper around pinecone? what differentiates your application from just doing the set up in Pinecone? Funny thing is I'm actually launching a similar product soon haha anyway always nice to meet the competition!
Anyway looks promising!
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!!
Congrats on the launch, Karthik! Excited to see how LiquidIndex simplifies AI integration. Looking forward to trying it out!
Congrats on launching LiquidIndex @karthik_kandikonda! Excited to see a platform that handles ingestion pipelines, vector DB configs, and data syncing for us. How do you handle data security and isolation though?
@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!
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) 🎉
