prometheux-chain 0.2.9

Prometheux chain is a Python SDK designed to build, evolve and deploy your new knowledge graphs.

Prometheux_chain

Description

Prometheux Chain is a Python SDK designed to help you create, evolve, and deploy knowledge graphs with ease. The SDK offers the following capabilities:

• Data Ingestion: Seamlessly integrate data from various sources, including databases and files.
• Reasoning & Knowledge Augmentation: Perform logical reasoning to derive new insights and augment your existing knowledge base.
• Explainability: Gain clear explanations of the results generated by the system.

For more information refer to the documentation

Features

• Supports a wide range of data sources.
• Built-in reasoning engine for deriving new knowledge.
• Easy-to-understand explanations for enhanced interpretability.
• Ready-to-use configurations for fast deployment.

Installation

Requirements

• Python 3.9 or higher (Python 3.13 recommended)

Install Using pip

1. Set Up a Virtual Environment (recommended):

python3 -m venv myenv
source myenv/bin/activate  # On Windows: myenv\Scripts\activate

2. Install the SDK via pip:

pip install --upgrade prometheux_chain

Usage

This guide demonstrates how to get started with the Prometheux Chain SDK. The example below outlines a typical workflow, including creating a project, defining concept logic, and running concepts to generate results.

Workflow

Import the prometheux_chain

import prometheux_chain as px
import os

Define the PMTX_TOKEN environment variable for authentication

os.environ['PMTX_TOKEN'] = 'my_pmtx_token'

Configure the backend connection using your Prometheux account

px.config.set('JARVISPY_URL', "https://platform.prometheux.ai/jarvispy/'my_organization'/'my_username'")

Create a new project

project_id = px.save_project(project_name="test_project")

Define concept logic using Vadalog syntax and save it

concept_logic = """
company("Apple", "Redwood City, CA").
company("Google", "Mountain View, CA").
company("Microsoft", "Redmond, WA").
company("Amazon", "Seattle, WA").
company("Facebook", "Menlo Park, CA").
company("Twitter", "San Francisco, CA").
company("LinkedIn", "Sunnyvale, CA").
company("Instagram", "Menlo Park, CA").

location(Location) :- company(_,Location).

@output("location").
"""
px.save_concept(project_id=project_id, concept_logic=concept_logic)

Run the concept to generate results

px.run_concept(project_id=project_id, concept_name="location")