Platform Spotlight

Ragbase is built on Memora

Ragbase is a customer-facing product on top of Memora. The retrieval layer stays focused on context, while Ragbase turns that infrastructure into a finished application.

ragbase.dev

Ragbase is designed to show how Memora can be packaged into a real product. It keeps the retrieval layer narrow and moves the product logic into a clean, branded interface.

That separation matters: Memora stays the source of truth for context, while Ragbase handles the experience people see and use every day.

What Ragbase adds
  • A product shell that keeps the experience focused and immediately understandable.
  • A clean place to present answers, prompts, and guided workflows without exposing infrastructure details.
  • A reusable front end that can evolve independently from the retrieval core.
How it fits with Memora
  • Memora provides the retrieval API and data layer.
  • Ragbase handles the product UX, prompts, and presentation.
  • The two layers stay decoupled so the product can evolve without changing the retrieval core.
  • That separation makes it easier to reuse Memora across future products.

What it is

A product shell with a real retrieval core

Ragbase is the application layer that turns Memora into something customer-facing. The shape stays simple so the product can scale without becoming visually noisy.

Product layer

Ragbase turns Memora into an end-user application with a focused interface and a simple way to explore RAG-powered experiences.

Retrieval engine

Memora handles storage, embedding, and retrieval so Ragbase can stay centered on product experience instead of infrastructure.

Customer-ready workflow

The result is a polished surface for demos, sales, and product discovery that still uses production-grade context retrieval underneath.

System

How Ragbase is wired

The interaction between the product shell and the retrieval layer is intentionally compact. That keeps the page readable and the architecture obvious.

How it works
01

Connect content

Documents, notes, and source material are uploaded into Memora so they are ready for indexing and retrieval.

02

Index with Memora

Memora chunks and stores the data, keeping retrieval consistent and fast across the app.

03

Query in Ragbase

Ragbase sends user questions through Memora to pull back the most relevant context for the experience.

04

Present the result

The app renders the answer in a product-facing flow instead of exposing raw API mechanics to the user.

Integration contract

Ragbase calls Memora for ingestion and retrieval, then presents the result as a polished application experience.

If the product expands later, the same Memora layer can be reused for other surfaces without rebuilding the core.

That keeps the platform architecture small, testable, and easier to maintain.

  • Memora provides the retrieval API and data layer.
  • Ragbase handles the product UX, prompts, and presentation.
  • The two layers stay decoupled so the product can evolve without changing the retrieval core.
Example shape
const ragbase = {
  product: "ragbase.dev",
  retrieval: {
    provider: "Memora",
    apiUrl: "https://api.memoralabs.dev",
    flow: ["ingest", "embed", "retrieve", "present"],
  },
};

Why it matters

Reusable product logic, not repeated scaffolding

Ragbase is a concrete example of how Memora can support multiple products without changing the retrieval backbone.

Faster product iteration

The retrieval layer stays stable while the product layer can change quickly as the app evolves.

Cleaner separation

Memora handles context infrastructure. Ragbase handles the user experience and product-specific logic.

Get started

Use Ragbase as the reference point

If you want to see how Memora becomes a finished product, Ragbase is the cleanest example.

Ragbase on Memora

Explore the live product at ragbase.dev and use this page as the explanation of how it fits into the Memora ecosystem.

Ragbase | Built on Memora - Memora