Graphiti

Graphiti is an open-source platform designed to improve retrieval augmented generation (RAG) systems by integrating knowledge graph technology. RAG systems traditionally retrieve relevant documents or data chunks to provide context for language models, but they often struggle with dynamic data environments where information changes frequently or grows substantially over time. Graphiti addresses these limitations by structuring retrieved information as a knowledge graph, which better preserves relationships and context between data points.

Key Functionality

The platform maintains a dynamic knowledge graph that evolves as new data is ingested. Rather than treating retrieved information as isolated text chunks, Graphiti represents entities and their relationships explicitly, allowing the system to understand connections between concepts and maintain coherent context across updates. This approach helps reduce hallucination in generated responses and improves the relevance of retrieved information for answer generation.

Use Cases

Graphiti is particularly suited for applications involving frequently updated datasets, such as real-time information systems, knowledge bases that grow over time, and domains where understanding relationships between entities is critical for accurate responses. By maintaining structured relationships between information pieces, the platform enables more sophisticated querying and reasoning compared to traditional RAG implementations.