ingest

Name: ingest
Availability: InStock
Author: Hawksight-AI

Integrate external data sources into Semantica knowledge graphs with schema alignment and entity linking.

2.9k|348|Updated Jun 25, 2025

Search Tags:#API #database #ingestion #data integration #schema mapping

Ready to run

npx skills add https://github.com/Hawksight-AI/semantica --skill ingest-hawksight-ai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ingest
Source: https://github.com/Hawksight-AI/semantica/tree/main/plugins/skills/ingest
Command: npx skills add https://github.com/Hawksight-AI/semantica --skill ingest-hawksight-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of ingesting diverse data sources into knowledge graphs, enabling efficient data integration and schema mapping to enhance data-driven decision-making.

Core Features & Use Cases

Data Ingestion: Import data from files, databases, or APIs into Semantica's knowledge structure.
Schema Mapping & Linking: Automatically link entities and map data schemas during ingestion.
Use Case: A data analyst wants to load customer records from a CSV file and link them with existing entities for a unified view.

Quick Start

Use the ingest skill to load data from a local CSV file into the knowledge graph.

Frequently Asked Questions about ingest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I integrate external database records into a knowledge graph?▼

To integrate external database records into a knowledge graph, you can import data from files, databases, or APIs. The process automatically aligns schemas and links entities to create a unified view for analysis.

Can I load CSV files into Semantica and link them with existing entities?▼

Yes, you can load data from a local CSV file into Semantica's knowledge structure. The ingestion process automatically links the imported customer records with existing entities to provide a unified analytical view.

Does the data ingestion process support real-time data streams and API sources?▼

Data ingestion supports real-time data streams alongside files, databases, and API sources. Structured ingestion processing handles these continuous flows by mapping schemas directly into the knowledge graph.

What is required to process structured data ingestion for schema alignment?▼

Structured data ingestion requires the semantica.ingest modules to process schema alignment and entity linking. This setup facilitates efficient data integration from diverse external sources into the knowledge graph.