ykhli/local-ai-stack resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1391 stars · 190 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A starter kit (boilerplate) for building fully local AI applications with zero API costs, beginning with a document Q&A chat app. It combines Ollama for local LLM inference, Supabase pgvector as a local vector database, LangChain.js for orchestration, and Transformers.js for embeddings, all wired into a Next.js frontend.

Use cases

• build a document Q&A app that runs entirely locally
• chat with my own documents without sending data to the cloud
• get a free $0-cost local AI stack up and running
• learn how to combine Ollama, Supabase pgvector, and LangChain
• prototype a private RAG app on my laptop
• generate embeddings locally with transformers.js

When to choose

• you want a working local-only RAG app with no API keys or credit card
• privacy matters and documents must never leave your machine
• you want a Next.js + LangChain.js codebase to extend into your own AI app
• you already use or want to learn Ollama and Supabase locally

When to avoid

• you need production-grade scalability or hosted deployment out of the box
• you want a polished end-user product rather than a developer starter kit
• you prefer Python-based AI stacks over JavaScript/TypeScript
• you need multi-user auth and cloud vector stores without extra setup

Facets

learning-resource · maturity active

rag llm-inference vector-database chat-interface web-framework artificial-intelligence large-language-models self-hosted developer-tools self-hosted cross-platform local-ai ollama supabase langchain nextjs starter-kit privacy document-qa transformers-js boilerplate retrieval-augmented-generation nodejs docker

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markdown · JSON · MCP: product_card(name="ykhli/local-ai-stack")