unRemarkable.ai GPT vs. Assistants Demo

Exploring a panel of experts assistants model.

Mixing Vertical Horizontal RAG Architectures
Faceted Search, Semantic Retrieval, & Data Analysis

Setup

This project leverages Dev Containers meaning you can open it in any supporting IDE and get started right away. This includes using VS Code with Dev Containers which is the recommended approach.

Once opened in your development container, create a .env.development.local file with your OpenAI API key:

OPENAI_API_KEY=sk-...

Now you can run the following commands:

npm install
npm run db:create
npm run db:index

Demo Commands

This will run the various OpenAI Assistants API demos. The demo:gpt command will mimic a Custom GPT's knowledge retrieval. The demo:rag will demonstrate the same Q&A sequence with a panel of experts using the Assistants API.

npm run demo:gpt
npm run demo:rag

Images created by any run step such as charts created by code interpreter will be saved to the ./files directory. These are git ignored. You can use the following environment variables to customize the scripts' behaviors.

DEBUG Set to any value to enable debug 🪲 logging.
KNOWLEDGE_FORMAT Set to process a specific knowledge format. Options: csv, json, md. Defaults to CSV. Only used in the demo:gpt script.

Access OpenSearch

To access the OpenSearch Dashboards hosted in the dev container, use the following URL. Use the admin username and admin password to log in.

http://localhost:5601

Luxury Apparel Data

The data used for this demonstration is from Kaggle.

https://www.kaggle.com/datasets/chitwanmanchanda/luxury-apparel-data

Here are the categories in the dataset. Use these to test your own pre-filtered queries.

Accessories
Activewear
Jackets/Coats
Jewelry
Pants
Shirts
Shoes
Suits
Sweaters
Underwear and Nightwear

Notes