GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Future of Data Stores and Semantic Abstractions
The future of data stores is evolving towards the integration of vector databases as a layer on top of different data stores like BigQuery and Postgres. This trend raises the question of whether a similar convergence will happen with graph databases. The potential convergence would involve having various semantic abstractions on top of the data without data replication, possibly integrating features like keyword search and vector embeddings within the graph database. This integration could address limitations such as storage capacity in graph databases.
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