T

Text To Cypher Gemma 3 4B Instruct 2025.04.0

Developed by neo4j
Gemma 3.4B IT is a large language model based on text-to-text generation, specifically designed for converting natural language into Cypher query language.
Downloads 596
Release Time : 4/2/2025

Model Overview

This model is primarily used to convert natural language into Neo4j graph database's Cypher query language, helping users interact with graph databases more conveniently.

Model Features

Natural Language to Cypher Conversion
Capable of understanding natural language descriptions and converting them into valid Neo4j Cypher queries
Simplified Graph Database Interaction
Provides a convenient way for non-technical users to interact with Neo4j graph databases
Based on Gemma Architecture
Utilizes Google's advanced Gemma large language model architecture with strong language understanding capabilities

Model Capabilities

Natural Language Understanding
Text to Cypher Conversion
Graph Database Query Generation
Multi-turn Dialogue Understanding

Use Cases

Graph Database Applications
Business Intelligence Analysis
Analyze enterprise relationship networks through natural language queries
Obtain complex relationship data without learning Cypher syntax
Knowledge Graph Querying
Explore entity relationships in knowledge graphs using natural language
Simplify access and usage of knowledge graphs
Data Science
Graph Data Exploration
Data scientists quickly explore graph data structures using natural language
Improve efficiency in graph data analysis
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase