Convert Croissant dataset JSON-LD files into a Neo4j knowledge graph.
npx skills add https://github.com/codata/croissant-toolkit --skill neo4j-expert-codata
Please help me install this Agent Skill. Skill: neo4j_expert Source: https://github.com/codata/croissant-toolkit/tree/main/skills/neo4j_expert Command: npx skills add https://github.com/codata/croissant-toolkit --skill neo4j-expert-codata
This Skill enables users to convert hierarchical Croissant JSON-LD data into a visual and queryable knowledge graph, revealing relationships within datasets.
Use the Neo4j Expert skill to load a dataset with the ingest script and then ask questions like "Which datasets mention Kyiv?"
High-intent search queries and answers about installing and using this skill.
To convert Croissant JSON-LD datasets into a Neo4j knowledge graph, use the provided Python ingest script to map hierarchical entities like datasets, creators, and keywords into relational graph structures.
Yes, you can perform natural language querying with Neo4j to retrieve relational insights from your datasets, allowing you to ask plain English questions like 'Which datasets mention Kyiv?' instead of writing complex queries.
Semantic search and relational discovery for machine learning datasets is the process of revealing and traversing relationships within hierarchical data by converting it into a visual and queryable knowledge graph.
Yes, you need an active Neo4j database connection and Python scripts to ingest Croissant JSON-LD files and perform complex graph traversals for data analysis.
The best way to explore relationships within a Croissant dataset is to load the JSON-LD data into Neo4j using the ingest script, which maps entities into a graph structure for complex traversals and semantic search.
You should use a knowledge graph for dataset analysis when you need to reveal hidden relationships within hierarchical JSON-LD data and require semantic querying and complex graph traversals for research and reporting.
seb1nConstructs structured knowledge graphs from unstructured text with Cypher, JSON-LD, and Mermaid outputs.
gonzalezpazmonicaBuild and query project entity knowledge graphs with JSONL storage.
semantica-agiIngest data from files, databases, APIs, or streams into Semantica knowledge graphs.
wosnatRun Cypher queries against a Neo4j knowledge graph using prepared templates.
