In previous posts, we explored how Neo4j can power retrieval-augmented generation (RAG) pipelines. Today, we’ll expand on integrating Neo4j with Qdrant for external vector searches by spinning up both databases locally and preloading them with example data using the scripts from the neo4j/neo4j-graphrag-python repo.
Why Qdrant? Qdrant is a fast open-source vector database known for flexible payloads and high-performance similarity searches. Offloading your embeddings to Qdrant — while keepin...
Read it: Integrate Qdrant and Neo4j to Enhance Your RAG Pipeline