An (Unofficial) Adaptive ML Support Agent

RAG-enabled ReAct Agent designed to help answer questions related to Adaptive ML. Can expose the agent via a socket.io server for web-based communication or run as a CLI agent.

Prerequisites

• Node.js 18 or higher
• npm or yarn
• An Anthropic API key (model communication)
• An OpenAI API key (for generating embeddings and populating the vector store)

Setup

1. Install dependencies:

   npm install

2. Copy the example environment file and add your API key:

   cp .env.example .env

3. Edit .env and add your API keys:

   ANTHROPIC_API_KEY=your_actual_api_key_here
   OPENAI_API_KEY=your_actual_api_key_here
   

Running the Application

First run:

Populate the vector store

npm run populateVectorStore

# Alternatively, populate (or repopulate) an individual vector data source
tsx src/scripts/populate-vector-store.ts <source-id> (heml-repo|docker-repo|documentation-website)

Start the agent

npm run dev

# Alternatively, run a CLI-based chat
npm run cli

Build and run:

npm run build
npm start # or npm run startCLI

Watch mode (auto-rebuild on changes):

npm run watch