🌟 Diving into Knowledge Graphs: A Journey of Discovery! 🌟
As I embark on my exploration of knowledge graphs, I started with Neo4j and RDFs, recognizing that crafting effective ontologies requires experience. Here are some intriguing insights from my journey:
- AI-Driven Tools: I discovered automated ontology creation tools like DataWalk, FalkorDB, and Cognee. Are they truly efficient in mapping data to schemas and building knowledge graphs?
- Key Challenges: What gaps remain in adopting these tools for enterprise-level AI tasks? Vital considerations include:
- Adding new data sources
- Incremental updates and schema evolution
- Schema drift and versioning
- Engineering Solutions: Current tools may overlook sharding, high-availability, and custom indexing strategies.
I’m eager to learn from your experiences! Do you see knowledge graphs remaining relevant in five years? Let’s discuss!
✅ Join the conversation! Share your thoughts and experiences below!
