R

RAG Memory

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Provides a knowledge graph-enhanced retrieval system that combines vector search with graph-based re...

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26 installs
Updated Nov 22, 2025
Audited
Provides a knowledge graph-enhanced retrieval system that combines vector search with graph-based relationships for persistent memory and contextual information retrieval

Tools

createEntities

<description> Create multiple new entities in the knowledge graph with comprehensive metadata and observations. **Essential for building the foundational structure of your knowledge representation.** ...

addObservations

<description> Add new observations to existing entities to continuously enrich their context, evidence, and understanding. **Essential for keeping your knowledge graph current and comprehensive.** Obs...

embedAllEntities

<description> Generate semantic vector embeddings for all entities in the knowledge graph to enable semantic search. **Essential for upgrading your knowledge graph to use semantic vector search instea...

getDetailedContext

<description> Retrieve comprehensive detailed context for a specific chunk, including the full text and surrounding content. **Essential companion to hybridSearch** - use this to get complete context ...

storeDocument

<description> Store a document in the system for later processing. **Simple document storage without automatic extraction.** AI agents can then choose which processing steps to apply using other tools...

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