README.md

Local AI Stack

Make it possible for anyone to run a simple AI app that can do document Q&A 100% locally without having to swipe a credit card 💳. Based on AI Starter Kit.

Have questions? Join AI Stack devs and find me in #local-ai-stack channel.

Stack

• 🦙 Inference: Ollama
• 💻 VectorDB: Supabase pgvector
• 🧠 LLM Orchestration: Langchain.js
• 🖼️ App logic: Next.js

Quickstart

1. Fork and Clone repo

Fork the repo to your Github account, then run the following command to clone the repo:

git clone [email protected]:[YOUR_GITHUB_ACCOUNT_NAME]/local-ai-stack.git

2. Install dependencies

cd local-ai-stack
npm install

3. Install Ollama

Instructions are here

4. Run Supabase locally

1. Install Supabase CLI

brew install supabase/tap/supabase

2. Start Supabase

Make sure you are under /local-ai-stack directory and run:

supabase start

5. Fill in secrets

cp .env.local.example .env.local

Then get SUPABASE_PRIVATE_KEY by running

supabase status

Copy anon key and save it as SUPABASE_PRIVATE_KEY in .env.local

6. Generate embeddings

node src/scripts/indexBlogLocal.mjs

This script takes in all files from /blogs, generate embeddings using transformers.js, and store embeddings as well as metadata in Supabase.

7. Run app locally

Now you are ready to test out the app locally! To do this, simply run npm run dev under the project root and visit http://localhost:3000.

6. Deploy the app

If you want to the the local-only app to the next level, feel free to follow instructions on AI Starter Kit for using Clerk, Pinecone/Supabase, OpenAI, Replicate and other cloud-based vendors.

Refs & Credits

• AI SDK
• LangUI
• Tailwind CSS
• a16z AI starter kit
• https://js.langchain.com/docs/modules/indexes/vector_stores/integrations/pinecone
• https://js.langchain.com/docs/modules/models/llms/integrations#replicate
• https://js.langchain.com/docs/modules/chains/index_related_chains/retrieval_qa