LiquidIndex is a fully managed RAG (Retrieval-Augmented Generation) engine, designed to make AI search simple, scalable, and seamless.
We help developers bring AI-powered search to their apps with just a few API calls—no need to build ingestion pipelines, wrangle vector databases, or reinvent the wheel.
Inspired by how Stripe transformed payments, LiquidIndex is built to make retrieval feel like infrastructure—not a side project.
Building AI search should be straightforward—but it isn't.
Every team working with RAG ends up solving the same painful problems:
File ingestion, chunking, metadata handling, multi-tenant storage, retrieval optimization, and endless orchestration between tools that were never meant to work together.
LiquidIndex handles all of that for you.
We believe that the fastest way to build is to focus on your product—not your infrastructure. So we give you a clean, customizable interface to plug into your stack and scale with confidence.
Create a user, upload their data, and start querying—it's that simple.
Your customers' data stays isolated, organized, and optimized.
File parsing, metadata, indexing—we handle the details so you don't have to.
Bring your own vector DB or embedding model if needed.
From Google Drive to Notion, we're bringing your users' data sources under one roof.
LiquidIndex is built for AI startups, indie hackers, and product teams that want to ship fast without sacrificing reliability. Whether you're building an AI agent, internal tool, or customer-facing app, we give you a search engine that just works—so you can get back to building.
LiquidIndex is an independent, founder-led company with a strong belief in simple tools, clean architecture, and shipping fast. It was designed, built, and refined by someone who's been in the trenches of early-stage engineering and knows how frustrating good infra can be to get right.
If you want to see how it works, check out the demo or dive into the docs.
We're in beta now and actively onboarding teams.
Let's make RAG simple—together.