Entity Linking and Relationship Extraction With Relik in LlamaIndex

The text discusses a project that utilizes Relik, a library with models for entity linking and relationship extraction, to extract structured information from unstructured news articles. The process involves setting up a Neo4j graph database to store the extracted information and using LlamaIndex to define connections between entities in the data. A coreference resolution model is used to identify expressions that refer to the same entity, and then an embedding model and a large language model are used to embed entities and answer questions about them. The project uses a news dataset obtained via Diffbot API and applies the Relik models to extract relationships and perform question answering.