From Edge Vector Indexing to LLM Models: What’s New in Memgraph 3.4

Memgraph 3.4.0 introduces several new features and performance enhancements to improve the experience with graph databases, particularly in leveraging large language models (LLMs). Key updates include smarter vector indexing that now supports edges, allowing for similarity searches on relationships, and memory optimization through quantization. The release also enhances monitoring for replica recovery processes, introduces a non-blocking index creation process to minimize database locking, and updates GraphQL compatibility for better integration. MAGE 3.4.0 brings new utilities for text and date manipulation and node merging, while Memgraph Lab 3.4.0 offers improved graph layouts, expanded Graph Chat LLM options, and enhanced security with PKCE for OAuth2 authentication. These updates aim to provide more control, flexibility, and efficiency in building intelligent, context-aware applications using Memgraph.