Revolutionising Data Ingestion for Knowledge Graphs
- shona060
- Jan 13
- 3 min read
Updated: Jan 27
In today’s era of overwhelming data complexity, Knowledge Graphs have emerged as a game-changing solution, enabling businesses to organise, connect, and unlock value from diverse, mixed-structure data sources. From powering grounded GenAI products to delivering actionable intelligence at scale, Knowledge Graphs form the backbone of modern data-driven insights.
But how do you begin building a Knowledge Graph?
It all starts with data ingestion, the critical first step in transforming messy, unstructured, or siloed data from various different sources into something powerful and usable, a unified data structure.
📍 This blog is the first in our series exploring the stages of Knowledge Graph building, focusing specifically on data ingestion—and how Conode’s AI-powered approach simplifies and accelerates the process.
Stay tuned throughout this series as we walk you through data ingestion, fusion, enrichment, and beyond, revealing how Conode’s suite of tools transforms graph-building into a seamless experience.
Traditional Challenges in Data Ingestion
Constructing a useful Knowledge Graph has always been the real challenge.
Most graph-building workflows are unnecessarily complex. To achieve the data ingestion step alone requires:
Time-Consuming Data Cleaning that takes analysts weeks or even months.
Rigid Schemas and Ontologies that create inflexible, short-lived systems.
Code-Dependent Pipelines that quickly become obsolete with new data.
While many have accepted these cumbersome steps as unavoidable, we see them a needless barriers — and we've set out to remove them.
Conode: A New Era of Code-Free Graph Building✨
At Conode, we are redefining the path to Knowledge Graphs. Our patented approach to graphs and brand new AI Agents have eliminated the usual bottlenecks. Think faster, simpler, and completely code-free.
Schema-Free Data Ingestion: Bring in any data — structured or unstructured — without rigid schemas or preparation.
Accepts your Data As-Is: Messy and complex data types are our forté. NO data cleaning required.
Automates Data Fusion: Fusion of data sources happens upon data upload, providing you with a simplified view across your unified knowledge base.
Immediate Observability and Control: Allows millisecond access to your entire database. Gain instant visibility and control over your data during ingestion, to validating results every step of the way.
🔥 LAUNCH ALERT! 🔥
Earlier this week, we launched not one but three custom agents for code-free graph building.
Powered by the Conode AI, you can now iteratively construct Knowledge Graphs—even from the messiest data—using nothing but natural language commands.
👉🏼 you can check out our launch here 📖
Leading the way is our Conode Upload Agent, designed to allow you to import and structure complex datasets with ease. Using just natural language commands, you can iteratively construct Knowledge Graphs—even from the messiest databases.
How To Build A Knowledge Graph with Conode
Let’s walk through an example of how you can construct a custom knowledge graph in minutes, from a combination structured and unstructured data sources.
1. Upload Structured Data from a Relational Database
Connect to relational databases like PostgreSQL and specify exactly what you would like to import through, iterative prompts to the Upload Agent. The Conode Upload Agent generates the SQL script to extract the data, which you can adjust and approve directly in the interface. The data is seamlessly translated into graph format, retaining structure without manual configuration.
2. Add Further Data Sources Using Fast File Upload
To enrich your graph with additional files, simply drop in TXT, PDF, JSON, CSV, MP4, JPEG, PNG, and many other file formats directly into Conode. If we don’t yet support your file types, simply pop us a message.
3. All Done. Time to Explore!
In this example we combined a large accident database, as well as unstructured text reports and images of high risk incidents. Within minutes, we have a fully functional, observable Knowledge Graph combining multiple data sources into one view — all without writing a single line of code.
Ready to Try Conode on Your Own Data?
Experience the power of our AI-driven agents and begin creating Knowledge Graphs in minutes.
⏯️ Open Conode ↗️
So... What’s Next?
Data ingestion is just the first stage of graph-building, and Conode ensures every subsequent step— entity extraction, enrichment, retrieval, and more — is just as streamlined.
Stay tuned for upcoming blogs where we’ll dive into how our agents make each stage of the process faster and more intuitive. 💪🏼
Can’t wait to share more!
Until next time,
Shona
Product Manager at Conode
댓글