LightRAG integration with Memgraph
Project description
🔗 lightrag-memgraph
lightrag-memgraph is an integration that connects lightrag and memgraph. The library began as a small wrapper designed to specifically configure Memgraph within a pipeline that processes unstructured data (various texts) and transforms it into an ontology/entity schema graph. In other words, it enables you to extract and enhance entities from unstructured documents, storing them in a graph for powerful querying and analysis. Ideal for building knowledge graphs, improving data discovery, and leveraging advanced AI techniques on top of your domain data.
Notes
- Entity/relationship extraction is high-quality, but also high-cost and relatively slow.
- The goal over time is to expose time and cost metrics (e.g., $ per your specific document page or chunk).
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