Aether: Next-Gen RAG & Cloud Intelligence

It establishes your credentials, explains why you built it, and highlights the technical value to drive conversions to your Kreato checkout link. https://kreato.co.in/aether/23aa48bb-f963-4554-b6b8-1412ccd9c151

📍 Pinned Maker Comment

Hey everyone! 👋 Nageshkumar here, maker of Aether OS Pro.

As a developer building AI MVPs, I found myself wasting dozens of hours on the exact same setup for every project: setting up vector databases, configuring schema migrations, handling document chunking, and wiring up semantic caching. Worse, hitting cloud LLMs on every single user prompt was burning API budget fast during testing.

I built Aether OS Pro to solve this once and for all with a zero-token-cost, local-first production stack.

🛠️ What’s inside the box:
Framework: Next.js 16 (App Router + Server Actions with React 19)
Database & Vector Engine: PostgreSQL + Prisma 7 with native 1024-dim pgvector support
Embeddings & AI: Pre-configured for Voyage AI embeddings (production) and local Ollama runtimes ($0 offline testing)
Performance Layer: Sub-millisecond in-memory semantic query cache to skip redundant LLM API calls
Monetization: Pre-configured Paddle billing modal + instant local setup
🎬 Watch the 6.5-min technical build & demo:

⚡ Get the full production codebase (.zip) via instant UPI checkout:

https://kreato.co.in/aether/23aa48bb-f963-4554-b6b8-1412ccd9c151

I'd love to hear your thoughts on the semantic caching approach or answer any questions about the Prisma 7 pgvector setup below!

— Nageshkumar Gunji

Maker, Aether OS Pro

Forum Threads

p/aether-16

•

3d ago

Production-ready Next.js 16 & Prisma 7 pgvector starter kit with local Ollama RAG and Voyage AI.

I m Nageshkumar, and I just launched Aether OS Pro a production-ready Next.js 16 starter kit built to solve a major headache when building AI SaaS apps: high LLM API costs and painful vector DB infrastructure setups.

View all

📍 Pinned Maker Comment

Hey everyone! 👋 Nageshkumar here, maker of Aether OS Pro.

As a developer building AI MVPs, I found myself wasting dozens of hours on the exact same setup for every project: setting up vector databases, configuring schema migrations, handling document chunking, and wiring up semantic caching. Worse, hitting cloud LLMs on every single user prompt was burning API budget fast during testing.

I built Aether OS Pro to solve this once and for all with a zero-token-cost, local-first production stack.

🛠️ What’s inside the box:
Framework: Next.js 16 (App Router + Server Actions with React 19)
Database & Vector Engine: PostgreSQL + Prisma 7 with native 1024-dim pgvector support
Embeddings & AI: Pre-configured for Voyage AI embeddings (production) and local Ollama runtimes ($0 offline testing)
Performance Layer: Sub-millisecond in-memory semantic query cache to skip redundant LLM API calls
Monetization: Pre-configured Paddle billing modal + instant local setup
🎬 Watch the 6.5-min technical build & demo:

⚡ Get the full production codebase (.zip) via instant UPI checkout:

https://kreato.co.in/aether/23aa48bb-f963-4554-b6b8-1412ccd9c151

I'd love to hear your thoughts on the semantic caching approach or answer any questions about the Prisma 7 pgvector setup below!

— Nageshkumar Gunji

Maker, Aether OS Pro