Moss - Python Sample

This project demonstrates the usage of the Moss in Python for semantic search and document indexing.

Setup

1. Clone or download this repository

2. Set up Python environment:

   • Ensure you have Python 3.7+ installed

   • Create a virtual environment (recommended):

     python -m venv venv
     source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

   pip install -r requirements.txt

4. Configure environment variables:

   • Copy .env.template to .env

   • Fill in your Moss project credentials:

     MOSS_PROJECT_ID=your_actual_project_id
     MOSS_PROJECT_KEY=your_actual_project_key

   • NOTE: If you don't have credentials, please fill out the form to request access — request credentials form or send an email to contact@inferedge.dev.

Usage

Run the example script to see the complete Moss workflow:

python example_usage.py

This will demonstrate:

• Creating an index with documents
• Adding and retrieving documents
• Performing semantic search queries
• Managing indexes and documents

Requirements

• Python 3.7+
• Valid Moss project credentials

API Reference

The example uses the following Moss features:

• MossClient: Main client for interacting with Moss API
• Index operations: create, list, get info, delete
• Document operations: add, get, delete and update
• Semantic search: load, query

For full API documentation, refer to the official Moss Documentation.