
LiquidIndex
The Stripe Checkout of RAG
281 followers
The Stripe Checkout of RAG
281 followers
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.
LiquidIndex
Hey Product Hunters! π
Iβm 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! π
LiquidIndex helps developers add RAG (retrieval-augmented generation) to their apps in just a few minutesβwith no need to build ingestion pipelines, deal with vector DB configs, or glue together a dozen tools. Itβs built to make retrieval feel like a native part of your app, not a backend burden.
Hereβs what makes LiquidIndex different:
β‘ 3 API calls to production-ready AI search
Create a tenant, upload data, and query. Thatβs it.
π Multi-tenant by design
Each customerβs data is isolated, indexed, and optimized for fast, scalable retrieval.
π₯ Managed ingestion pipeline
We handle file parsing, chunking, metadata, and syncingβso you donβt have to.
π Multiple data sources
Currently supports file uploads and Google Drive, with Notion, Dropbox, and S3 on the way.
βοΈ Customizable internals
Choose your vector DB, your embedding model, and moreβno vendor lock-in.
π Query playground + clean developer dashboard
Play with your data, test your queries, and manage tenants with ease.
Weβre currently in beta and onboarding teams!
You can try it now at liquidindex.dev
π Launch Special:
Use code LQX410 to get the Pro Plan for $10 your first month (originally $25/month).
Weβve spent the last few months refining the core architecture, polishing the experience, and preparing for scale. Now, weβre excited to get it into more hands.
If youβre building AI apps and want a simpler way to handle search, Iβd love to hear what you think. Feedback, questions, ideasβdrop them below or DM me anytime. Letβs build better infra together. π
Toki: AI Reminder & Calendar
@thisiskp_ @karthik_kandikonda RAG is always helpful. Congrats on launching LiquidIndex!
LiquidIndex
@thisiskp_ @sophiaatdola Thank you!
Paddle
Hey PH friends! π
I'm thrilled to introduce LiquidIndex to the Product Hunt community today! π
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:
β‘ Production-ready AI search in minutes, not weeks
π Multi-tenant architecture that scales with your user base
π₯ Fully managed ingestion that just works (goodbye chunking nightmares!)
π§© No vendor lock-in β 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 β 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. π¬
P.S. Don't miss their launch price of $10 for your first month (with the code LQX410) π
@karthik_kandikonda @thisiskp_ Congrats on the launch, Karthik! π I have tried wiring up RAG before, and itβs usually a maze of configs and tools. LiquidIndex really simplifies that. really like the idea of β3 API calls to productionβ super developer-friendly. good job
LiquidIndex
@thisiskp_ @hamza_afzal_butt Thank you! Really means a lot. Simplicity has always been the goal since I started this, Iβm glad that came through
Dot Copilot
@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!
LiquidIndex
@smrati_tiwari4 Thank you so much! Iβm excited to see what people build with it too!