Neo4j Graph Manager

Overview

The Neo4j Graph Manager is a Python application designed to create and manage graph structures in a Neo4j database using data extracted from textual information. It utilizes the Langchain library for document processing and Groq API for language model interactions.

Features

• Load environment variables from a .env file for secure credential management.
• Create graph structures in Neo4j from text documents.
• Use LLM (Language Model) transformers to convert documents into graph formats.
• Execute Cypher queries to interact with the Neo4j database.

Requirements

To run this project, ensure you have the following dependencies installed:

• Python 3.7 or higher
• langchain_community
• langchain_groq
• langchain_core
• langchain_experimental
• python-dotenv
• Neo4j database running (local or remote)

You can install the required packages using pip:

Create a .env file in the root directory of the project and add your Neo4j credentials and API keys:

NEO4J_URI="neo4j+s://your_neo4j_instance" NEO4J_USERNAME="your_username" NEO4J_PASSWORD="your_password" GROQ_API_KEY="your_groq_api_key" MODEL_NAME="your_model_name"