Going Meta: Wrapping Up GraphRAG, Vectors, and Knowledge Graphs
Blog post from Neo4j
The Going Meta series explored various aspects of semantics, ontologies, and knowledge graphs. The first season covered foundational principles of graph databases, data engineering, knowledge management, developer/data integration, and advanced semantics, with a focus on GraphRAG and knowledge graphs in Action. Episodes 21-27 focused on GenAI, RAG, and knowledge graphs, exploring how these concepts can be used to improve AI results, create reflection agents, and build domain-specific information systems. The series concluded with a recap of the first season's episodes and announced the start of Season 2, which will delve deeper into the topics covered in previous seasons.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| RAG | 9 | 773 | 144 | 59 | -57% |
| LLM | 8 | 2,643 | 305 | 124 | -22% |
| AI Agents | 1 | 201 | 48 | 32 | +51% |
| Data Pipeline | 1 | 499 | 134 | 61 | -11% |
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