Vector Database vs. Knowledge Graph: Making the Right Choice When Implementing RAG BrandPost By Anand Logani, chief digital officer at EXL Feb 20, 2024 5 mins Artificial Intelligence ...

Graph database vendor Neo4j announced today new capabilities for vector search within its graph database. Neo4j’s namesake database technology enables organizations to create a knowledge graph ...

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 ...

SAN MATEO, Calif., Aug. 22, 2023 /PRNewswire/ -- Neo4j®, the world's leading graph database and analytics company, announced that it has integrated native vector search as part of its core ...

Vector databases don't get as much love as their flashier counterparts, large language models (LLMs). But the startups building them are still crucial to the current AI revolution, and investors ...

The software also supports vector storage and search capability. Developers can use Azure OpenAI embedding application program interfaces to create embeddings and store them in the Neo4j database.

There’s been a debate of sorts in AI circles about which database is more important in finding truthful information in generative AI applications: graph or vector databases. AWS decided to leave ...