Nanopublications LDF server

Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAyzRXkvyMupy2V4Bj6k0Itf9VTD6Xgx1-X4ijOiyj4a8/assertion>. }

• arXiv.2506.17001 type Entity assertion.
• graphRAG type Workflow assertion.
• knowledgeGraphPrompting type Workflow assertion.
• aStarRetrievalAlgorithm type Workflow assertion.
• ariGraph type Workflow assertion.
• beamSearchRetrievalAlgorithm type Workflow assertion.
• hippoRAG type Workflow assertion.
• memWalker type Workflow assertion.
• memorizePipeline type Workflow assertion.
• mixedRetrievalAlgorithm type Workflow assertion.
• pearl type Workflow assertion.
• personalAiFramework type Workflow assertion.
• qaPipeline type Workflow assertion.
• readAgent type Workflow assertion.
• retrievalAugmentedGeneration type Workflow assertion.
• waterCirclesRetrievalAlgorithm type Workflow assertion.
• retrievalAugmentedGeneration label "Retrieval-Augmented Generation (RAG)" assertion.
• graphRAG label "GraphRAG" assertion.
• hippoRAG label "HippoRAG" assertion.
• ariGraph label "AriGraph" assertion.
• readAgent label "ReadAgent" assertion.
• aStarRetrievalAlgorithm label "A* Retrieval Algorithm" assertion.
• beamSearchRetrievalAlgorithm label "BeamSearch Retrieval Algorithm" assertion.
• knowledgeGraphPrompting label "Knowledge Graph Prompting (KGP)" assertion.
• memWalker label "MemWalker" assertion.
• memorizePipeline label "Memorize Pipeline" assertion.
• mixedRetrievalAlgorithm label "Mixed Retrieval Algorithm" assertion.
• pearl label "PEARL" assertion.
• personalAiFramework label "PersonalAI Framework" assertion.
• qaPipeline label "QA Pipeline" assertion.
• waterCirclesRetrievalAlgorithm label "WaterCircles Retrieval Algorithm" assertion.
• aStarRetrievalAlgorithm comment "This method is a specific graph traversal algorithm, based on A*, designed for the QA pipeline to extract relevant triples from the memory graph. It employs various heuristics (Inner Product, Weighted Shortest Path, Averaged Weighted Shortest Path) to optimize pathfinding, contributing to the synergized reasoning capabilities of the overall framework." assertion.
• memorizePipeline comment "This pipeline describes the process of constructing and updating the hybrid memory graph from unstructured natural language texts. It leverages LLMs to perform key steps such as formulating vertices and edges, generating hyper-edges, and parsing LLM output into a structured format (e.g., subject-relation-object triples), thereby augmenting KG construction." assertion.
• waterCirclesRetrievalAlgorithm comment "This retrieval method is a modified breadth-first search (BFS) algorithm used within the QA pipeline to extract relevant knowledge. It maps query entities to graph vertices, expands outwards, and aggregates triples at intersections, with specific enhancements for handling thesis and episodic hyper-edges, thereby supporting synergized reasoning." assertion.
• personalAiFramework comment "This framework introduces a flexible external memory architecture for LLM agents based on a novel hybrid knowledge graph design (supporting standard edges and two types of hyper-edges: thesis and episodic). It enables rich semantic and temporal representations by allowing LLMs to automatically construct and update this structured memory. This aims to synergize LLM and KG capabilities for a unified knowledge representation that enhances personalized, context-aware reasoning." assertion.
• qaPipeline comment "This pipeline handles information search in the memory graph for question answering. It involves an LLM for entity extraction from the natural language question and for generating the final answer, while graph traversal algorithms (like A*, WaterCircles, BeamSearch, and hybrids) are used to retrieve relevant triples from the KG. This exemplifies synergized reasoning by combining LLM capabilities with KG-based structured retrieval." assertion.
• beamSearchRetrievalAlgorithm comment "Inspired by LLM token generation, this retrieval algorithm constructs multiple semantically relevant paths from a starting vertex in the knowledge graph. It is a key component of the QA pipeline, governed by hyperparameters for depth, path count, and intersection rules, and contributes to the synergized reasoning process by finding optimal information retrieval paths." assertion.
• mixedRetrievalAlgorithm comment "This algorithm integrates the A*, WaterCircles, and BeamSearch strategies within the QA pipeline to enhance extraction efficacy. By combining the outputs of these distinct traversal methods, it aims to improve overall recall and robustness in retrieving information from the knowledge graph, thus contributing to the synergized reasoning of the system." assertion.
• memorizePipeline subject LLMAugmentedKGConstruction assertion.
• personalAiFramework subject SynergizedKnowledgeRepresentation assertion.
• aStarRetrievalAlgorithm subject SynergizedReasoning assertion.
• beamSearchRetrievalAlgorithm subject SynergizedReasoning assertion.
• mixedRetrievalAlgorithm subject SynergizedReasoning assertion.
• qaPipeline subject SynergizedReasoning assertion.
• waterCirclesRetrievalAlgorithm subject SynergizedReasoning assertion.
• arXiv.2506.17001 title "PersonalAI: A Systematic Comparison of Knowledge Graph Storage and Retrieval Approaches for Personalized LLM agents" assertion.
• arXiv.2506.17001 describes aStarRetrievalAlgorithm assertion.
• arXiv.2506.17001 describes beamSearchRetrievalAlgorithm assertion.
• arXiv.2506.17001 describes memorizePipeline assertion.
• arXiv.2506.17001 describes mixedRetrievalAlgorithm assertion.
• arXiv.2506.17001 describes personalAiFramework assertion.
• arXiv.2506.17001 describes qaPipeline assertion.
• arXiv.2506.17001 describes waterCirclesRetrievalAlgorithm assertion.
• arXiv.2506.17001 discusses graphRAG assertion.
• arXiv.2506.17001 discusses knowledgeGraphPrompting assertion.
• arXiv.2506.17001 discusses ariGraph assertion.
• arXiv.2506.17001 discusses hippoRAG assertion.
• arXiv.2506.17001 discusses memWalker assertion.
• arXiv.2506.17001 discusses pearl assertion.
• arXiv.2506.17001 discusses readAgent assertion.
• arXiv.2506.17001 discusses retrievalAugmentedGeneration assertion.
• memorizePipeline hasTopCategory LLMAugmentedKG assertion.
• aStarRetrievalAlgorithm hasTopCategory SynergizedLLMKG assertion.
• beamSearchRetrievalAlgorithm hasTopCategory SynergizedLLMKG assertion.
• mixedRetrievalAlgorithm hasTopCategory SynergizedLLMKG assertion.
• personalAiFramework hasTopCategory SynergizedLLMKG assertion.
• qaPipeline hasTopCategory SynergizedLLMKG assertion.
• waterCirclesRetrievalAlgorithm hasTopCategory SynergizedLLMKG assertion.