When to choose Knowledge Graphs vs. Vector DBs. Specific use cases where Vector DBs excel are in RAG systems designed to assist customer service representatives.

He explained that the new service helps customers analyze existing Neptune graph data or data lakes on top of S3 storage, taking advantage of vector search to find key insights.

Neo4j (a graph database) can be used in conjunction with LLMs for social networks or knowledge graphs. Limitations. Vector capabilities of NoSQL databases are either very basic or are so new that ...

The intersection of large language models and graph databases is one that’s rich with possibilities. The folks at property graph database maker Neo4j today took a first step in realizing those ...

The intersection of graph and vector databases. With the rise of gen AI, there has been a corresponding growth in the need and demand for vector-capable databases. With a vector, ...

While graph data is great at representing and analyzing complex relationships and connections, vector data is optimized for efficient search capabilities and calculations in high-dimensional spaces.

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It's had impressive staying power since it was first coined the Structured Query English ...