LiquidIndex 2.0
I'm building LiquidIndex, an RAG API service that makes it easy to add personalized context to AI apps. Instead of building a whole system to upload, process, and search through a user’s files or notes, you just call a few APIs. It handles the hard parts - like connecting to Notion or Google Drive, breaking the data into usable pieces, and making it searchable. Then, when you want to answer a question using that data, you just query it, and it gives you the most relevant results - optionally with an LLM-generated answer. No pipelines, no infrastructure, no headaches. Here are the core APIs:…
LiquidIndex 2.0 launched on April 10, 2025 with 134 votes, #327 of 7,818 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
What it does
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.
In the maker’s words, at launch
I'm building LiquidIndex, an RAG API service that makes it easy to add personalized context to AI apps. Instead of building a whole system to upload, process, and search through a user’s files or notes, you just call a few APIs. It handles the hard parts - like connecting to Notion or Google Drive, breaking the data…
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