Neo4j
Neo4j is a graph database that has added vector search capabilities, providing unique and effective approaches for retrieval augmented generation (RAG) and other AI applications.
About this tool
Neo4j
Category: Vector Database Engines
Tags: graph-database, vector-search, rag, ai
Description
Neo4j is a graph database that now includes vector search capabilities, making it suitable for retrieval augmented generation (RAG) and other AI applications.
Features
- Graph Database: Native graph data storage and querying using Cypher.
- Vector Search Index: As of v5.13, Neo4j supports a dedicated Vector Search Index.
- Embedding Storage: Embeddings can be stored as properties on nodes (e.g., in an "embedding" property).
- Similarity Metrics: Supports both Euclidean and Cosine Similarity for vector similarity searches.
- Cypher Integration: Vector search and index management are performed via Cypher commands:
db.index.vector.createNodeIndexfor creating vector indexes.db.create.setNodeVectorPropertyfor storing vector data on nodes.db.index.vector.queryNodesfor querying similar nodes based on vector similarity.
- Flexible Schema: Can be adapted for various use cases, such as semantic search in note-taking applications.
- Top-K Search: Retrieve top-N similar items ranked by similarity score.
Pricing
No pricing information provided in the available content.
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