Text embeddings and vector similarity search help us find documents by understanding their meanings and how similar they are to each other. However, text embeddings aren’t as effective when sorting…

The Neo4j Blog offers insights, tutorials, and updates on graph database technology and its applications in various industries. From graph data modeling to query optimization and graph analytics, the Neo4j Blog provides resources for developers, data scientists, and business analysts looking to leverage the power of graph databases to unlock new insights from their connected data.

neo4j

Learn how graph-based metadata filtering can enhance vector search accuracy using LangChain and Neo4j. Discover how metadata filtering can help narrow down search results based on specific attributes, such as dates or categories.

Graph-based Metadata Filtering for Improving Vector Search in RAG Applications

Optimizing vector retrieval with advanced graph-based metadata techniques using LangChain and Neo4j.