FalkorDB: The High-Performance Graph Database Engineered for GenAI & Real-Time Data
5 days ago 高效码农FalkorDB: The High-Performance Graph Database Engineered for GraphRAG & GenAI FalkorDB Graph Database Architecture Why Do AI Systems Need a Specialized Graph Database? In the era of LLMs and GenAI breakthroughs, real-time association of structured and unstructured data has become critical. Traditional graph databases face performance bottlenecks when handling billions of relationships – the exact challenge FalkorDB solves through its sparse matrix and linear algebra approach to graph data storage and computation. 🔍 Real-world case: When ChatGPT retrieves drug interaction data from knowledge graphs, every 100ms delay reduces user experience by 17% (Source: Google UX Research) Architecture Deep Dive: Mathematical …
Graphiti MCP Server: Building Context-Aware AI Agents with Temporal Knowledge Graphs
1 months ago 高效码农Graphiti MCP Server: Building Temporal-Aware Knowledge Graphs for Next-Gen AI Why Temporal Awareness is Essential for Modern Knowledge Graphs? Traditional knowledge graphs function like static encyclopedias—effective for storing structured data but inadequate for dynamic environments. Consider a customer service AI needing real-time integration of user history, product updates, and breaking news. Conventional Retrieval-Augmented Generation (RAG) methods require reprocessing entire datasets for each query, leading to inefficiency and high costs. Graphiti MCP Server introduces temporal dimension management, acting as an intelligent archivist. It not only records the current state of entities (e.g., customers, products) but also preserves their historical evolution. When …