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JL Knowledge Base

jlpan0126/jl-knowledge-base

JL Knowledge Base
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Medium
- 2026 06 06 graphrag vs rag how a knowledge graph cut token usage by 90 while hitting 100 ac
  2026 06 06 graphrag vs rag how a knowledge graph cut token usage by 90 while hitting 100 ac
- 2026 06 07 advanced rag techniques an illustrated overview
  2026 06 07 advanced rag techniques an illustrated overview
- 2026 06 07 are you psychologically safe at work
  2026 06 07 are you psychologically safe at work
- 2026 06 07 building agentic rag on neo4js knowledge graph
  2026 06 07 building agentic rag on neo4js knowledge graph
- 2026 06 07 building knowledge graphs with local llms from benchmarking to fine tuning
  2026 06 07 building knowledge graphs with local llms from benchmarking to fine tuning
- 2026 06 07 does graphrag really outperform rag
  2026 06 07 does graphrag really outperform rag
- 2026 06 07 graphrag building a better ai system full tutorial
  2026 06 07 graphrag building a better ai system full tutorial
- 2026 06 07 graphrag explained neo4j cypher ai knowledge graph rag guide
  2026 06 07 graphrag explained neo4j cypher ai knowledge graph rag guide
- 2026 06 07 graphrag vs rag how a knowledge graph cut token usage by 90 while hitting 100 ac
  2026 06 07 graphrag vs rag how a knowledge graph cut token usage by 90 while hitting 100 ac
- 2026 06 07 he said over my dead body im the gay boy scout who finally went back
  2026 06 07 he said over my dead body im the gay boy scout who finally went back
- 2026 06 07 how to extract high value knowledge graph relationships
  2026 06 07 how to extract high value knowledge graph relationships
- 2026 06 07 orchestrating multiple ai roles in manus with shared context and tool awareness
  2026 06 07 orchestrating multiple ai roles in manus with shared context and tool awareness
- 2026 06 07 protégé to neo4j graphrag transforming owl ontologies into ai ready powerful kno
  2026 06 07 protégé to neo4j graphrag transforming owl ontologies into ai ready powerful kno
- 2026 06 07 why llms fail at knowledge graph extraction and what works instead
  2026 06 07 why llms fail at knowledge graph extraction and what works instead
- 2026 06 07 未來趨勢 ai agent經驗篇從 google 專家的眼中了解更多 ai agent
  2026 06 07 未來趨勢 ai agent經驗篇從 google 專家的眼中了解更多 ai agent
- 2026 06 07 開源模型 openai 承諾的開源模型終於出來了 gpt oss 模型正式介紹
  2026 06 07 開源模型 openai 承諾的開源模型終於出來了 gpt oss 模型正式介紹
- 2026 06 09 cigarettes are bad i miss them
  2026 06 09 cigarettes are bad i miss them
- 2026 06 09 gatori fishing in america
  2026 06 09 gatori fishing in america
- 2026 06 12 advanced rag graphrag techniques for reliable llm apps
  2026 06 12 advanced rag graphrag techniques for reliable llm apps
- 2026 06 12 diagnosing graphrag errors extraction vs retrieval vs generation
  2026 06 12 diagnosing graphrag errors extraction vs retrieval vs generation
- 2026 06 12 graphrag knowledge graphs explainable rag with gnns for healthcare
  2026 06 12 graphrag knowledge graphs explainable rag with gnns for healthcare
- 2026 06 12 the carp flies for boys the doll sits for girls
  2026 06 12 the carp flies for boys the doll sits for girls
- 2026 06 13 building knowledge graphs from homers iliad open domain vs schema guided extract
  2026 06 13 building knowledge graphs from homers iliad open domain vs schema guided extract
- 2026 06 13 cutting graphrag token costs by 90 in production
  2026 06 13 cutting graphrag token costs by 90 in production
- 2026 06 13 demystifying rag architectures from vector space to graph topologies
  2026 06 13 demystifying rag architectures from vector space to graph topologies
- 2026 06 13 five papers quietly killing the llm tax in graphrag
  2026 06 13 five papers quietly killing the llm tax in graphrag
- 2026 06 13 graphrag retrieval and querying how it works under the hood
  2026 06 13 graphrag retrieval and querying how it works under the hood
- 2026 06 13 graphrag vs vector rag pros cons hybrid rag use cases
  2026 06 13 graphrag vs vector rag pros cons hybrid rag use cases
- 2026 06 13 graphrag vs vectorless rag vs vector rag a 2026 guide to advanced context engine
  2026 06 13 graphrag vs vectorless rag vs vector rag a 2026 guide to advanced context engine
- 2026 06 13 hyperbolicrag curved spaces better answers
  2026 06 13 hyperbolicrag curved spaces better answers
- 2026 06 13 i was wrong about vector only rag graphrag just 34xd my accuracy
  2026 06 13 i was wrong about vector only rag graphrag just 34xd my accuracy
- 2026 06 13 knowledge graph in rag from retrieval to reasoning
  2026 06 13 knowledge graph in rag from retrieval to reasoning
- 2026 06 13 local llms for graph rag extraction what actually works
  2026 06 13 local llms for graph rag extraction what actually works
- 2026 06 13 manufacturing graphrag bot with multi hop traversal
  2026 06 13 manufacturing graphrag bot with multi hop traversal
- 2026 06 13 matrix powered graphrag a better way to handle multi hop reasoning
  2026 06 13 matrix powered graphrag a better way to handle multi hop reasoning
- 2026 06 13 multi lora for knowledge graphs one model many domains
  2026 06 13 multi lora for knowledge graphs one model many domains
- 2026 06 13 rag systems the complete zero to hero guide 2026 edition
  2026 06 13 rag systems the complete zero to hero guide 2026 edition
- 2026 06 13 why ai agents need ontologies and graphs to store them
  2026 06 13 why ai agents need ontologies and graphs to store them
- 2026 06 13 you probably dont need a graph database for your knowledge graph
  2026 06 13 you probably dont need a graph database for your knowledge graph
- 2026 06 15 how not to generate a knowledge graph with an llm
  2026 06 15 how not to generate a knowledge graph with an llm
- 2026 06 16 building an ontology for a knowledge graph is a process not a diagram
  2026 06 16 building an ontology for a knowledge graph is a process not a diagram
- 2026 06 18 knowledge graphs in rag a realistic demo with neo4j
  2026 06 18 knowledge graphs in rag a realistic demo with neo4j
- 2026 06 21 custom graphrag pipelines bring your own graph for production
  2026 06 21 custom graphrag pipelines bring your own graph for production
- 2026 06 21 ontologies knowledge graphs and a semantic layer the architecture that makes ai
  2026 06 21 ontologies knowledge graphs and a semantic layer the architecture that makes ai
- 2026 06 21 rag evaluation the complete guide to ragas trulens llm as judge 2026 edition
  2026 06 21 rag evaluation the complete guide to ragas trulens llm as judge 2026 edition
- 2026 06 21 visualizing knowledge graphs with python stop fighting with hairballs
  2026 06 21 visualizing knowledge graphs with python stop fighting with hairballs
- 2026 06 29 a practical graphrag architecture using langextract neo4j qdrant and ollama
  2026 06 29 a practical graphrag architecture using langextract neo4j qdrant and ollama
- 2026 07 03 build and query knowledge graphs with llms
  2026 07 03 build and query knowledge graphs with llms
- 2026 07 03 building a rag pipeline for 10m documents with near zero hallucination
  2026 07 03 building a rag pipeline for 10m documents with near zero hallucination
- 2026 07 03 ontology drift why your knowledge graph is slowly going wrong
  2026 07 03 ontology drift why your knowledge graph is slowly going wrong
- 2026 07 08 ontology guided knowledge extraction from documents to context aware rules
  2026 07 08 ontology guided knowledge extraction from documents to context aware rules
- 2026 07 13 the ontologies you shouldnt build yourself a field guide for knowledge graph bui
  2026 07 13 the ontologies you shouldnt build yourself a field guide for knowledge graph bui
Research
Research
- 📄 論文收藏 📄 論文收藏
  目錄
  - HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
- 🔬 研究主題與搜尋方向
- Baseline v1 20260610 082749
  Baseline v1 20260610 082749
- Baseline v2 20260611 030215
  Baseline v2 20260611 030215
- Baseline v2 20260619 011608
  Baseline v2 20260619 011608
- Baseline v2 20260619 152415
  Baseline v2 20260619 152415
- Baseline v2 20260619 154112
  Baseline v2 20260619 154112
- Baseline v2 20260620 012708
  Baseline v2 20260620 012708

📄 論文收藏¶

我從 arXiv 收藏、PDF 已下載到 NAS 的論文（共 1 篇）。

HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation ¶

arXiv 2503.21322　·　Haoran Luo, Haihong E, Guanting Chen et al.　·　收藏 2026-06-20　·　PDF 已存 NAS