tomasonjo-labs/text2cypher_llama_agent
A collection of LlamaIndex Workflows-powered agents that convert natural language to Cypher queries designed to retrieve information from a Neo4j database to answer the question with included benchmark data.
This tool helps you get answers from your Neo4j graph database by typing questions in plain English, instead of writing complex code. You ask a question like "What are the most popular products?", and it translates that into a Neo4j query to find the information, then presents the answer. It's designed for data analysts, business intelligence users, or anyone who needs to quickly extract insights from a graph database without needing to be a database expert.
No commits in the last 6 months.
Use this if you need to query a Neo4j graph database using natural language and get direct answers without writing Cypher code.
Not ideal if you are looking for a general-purpose natural language processing tool not specifically tied to Neo4j graph databases.
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98
Forks
22
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 16, 2025
Commits (30d)
0
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