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    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.

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    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.createNodeIndex for creating vector indexes.
      • db.create.setNodeVectorProperty for storing vector data on nodes.
      • db.index.vector.queryNodes for 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.

    Source

    Neo4j Vector Search - Ken Wagatsuma's Homepage

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    Information

    Websitekenwagatsuma.com
    PublishedMay 13, 2025

    Categories

    1 Item
    Vector Database Engines

    Tags

    4 Items
    #Graph Database#Vector Search#Rag#Ai

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