With Memgraph Lab 3.3, enters composable GraphChat

Memgraph Lab 3.3 introduces a significant update to GraphChat, now fully integrated with the AI Toolkit, enhancing its capabilities for natural language querying and graph exploration. This version emphasizes the shift from directly generating Cypher queries to utilizing a tool-first approach, where large language models (LLMs) select from a curated set of Cypher-backed tools, offering more reliability and scalability. GraphChat now provides a suite of tools, including Cypher query execution, PageRank, and schema information retrieval, allowing users to customize interactions based on their specific workloads. The update grants users the ability to define custom tools and context, enabling a more tailored and transparent experience with insights into token usage and tool involvement. This evolution transforms GraphChat into a versatile, user-driven interface, bridging the gap between natural language interfaces and complex graph operations, and empowering users to shape and control their interactions according to their unique data and requirements.

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