# graphrag

> Browse 4 items tagged with graphrag.

## Items

- [FalkorDB GraphRAG](https://vectordb.ever.works/items/falkordb-graphrag) — A unified knowledge graph and vector database solution built on Redis that seamlessly integrates graph traversal and vector similarity search for building advanced GenAI applications with both relational reasoning and semantic search capabilities.
- [LazyGraphRAG](https://vectordb.ever.works/items/lazygraphrag) — Cost-optimized variant of GraphRAG that reduces indexing cost to 0.1% of full GraphRAG while maintaining retrieval quality. Designed for resource-constrained deployments where traditional GraphRAG's 100-1000x higher indexing cost is prohibitive.
- [Neo4j GraphRAG Python](https://vectordb.ever.works/items/neo4j-graphrag-python) — Official Neo4j package for building graph retrieval augmented generation (GraphRAG) applications in Python. Enables developers to create knowledge graphs and implement advanced retrieval methods including graph traversals, text-to-Cypher, and vector searches.
- [Text-to-Cypher](https://vectordb.ever.works/items/text-to-cypher) — Natural language to Cypher query generation for Neo4j graph databases. Enables users to query knowledge graphs using plain English, critical component of GraphRAG systems for generating graph traversal queries from natural language questions.

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_Canonical page: https://vectordb.ever.works/tags/graphrag_