In previous posts in this series on the Neo4j GraphRAG Package for Python, we demonstrated how you can enhance your GraphRAG applications by going beyond simple vector search, using some of the advanced retrievers available in the package. We illustrated how adding a graph traversal step to vector search enables the retrieval of valuable information in addition to that returned by vector search alone. We also showed how combining full-text search with vector search can match queries to data i...
Read it: Enhancing Hybrid Retrieval With Graph Traversal Using the Neo4j GraphRAG Package for Python