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anils123
by anils123

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables extraction of subject-predicate-object triples from text and multi-hop reasoning over connected data, producing Cypher and JSON-LD outputs for agent memory, vector search, and retrieval-augmented generation workflows.
      7
      MIT
    • F
      license
      C
      quality
      D
      maintenance
      Combines a knowledge graph with RAG (Retrieval-Augmented Generation) capabilities for semantic code indexing and search. Enables creating entity relationships, managing observations, and performing semantic searches across indexed codebases.
      13
      -
    • F
      license
      Not graded
      quality
      C
      maintenance
      Transforms code repositories and development documentation into a queryable Neo4j knowledge graph, enabling AI assistants to perform intelligent code analysis, dependency mapping, impact assessment, and automated documentation generation across 15+ programming languages.
      7
      -
    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.
      5
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to build and query structured semantic graphs, extracting, traversing and multi-hop reasoning over entity-relation-object triples while producing Cypher and JSON-LD graph output. It also combines BM25 lexical and dense vector retrieval with rank fusion, semantic caching and context reordering for grounded agentic memory.
      7
      MIT