Learn how to implement DRIFT Search with @neo4j and agent Workflows - a hybrid approach that combines global and local search for more accurate GraphRAG responses.
October 29, 2025 at 6:06 PM
Learn how to implement DRIFT Search with @neo4j and agent Workflows - a hybrid approach that combines global and local search for more accurate GraphRAG responses.
🧠 @arcadedb.bsky.social now runs fully inside #Python with native bindings — no server, Docker, or network calls! Multi-model: graph, doc, vector, time-series. #Gremlin, #Cypher, #GraphQL, #SQL. Needs #JRE. 3 flavors.
🔗 Link in first 💬⤵️
Repost 🔁 #AI #RAG #GraphDatabase #JPype #GraphRAG #GraphDB
🔗 Link in first 💬⤵️
Repost 🔁 #AI #RAG #GraphDatabase #JPype #GraphRAG #GraphDB
October 18, 2025 at 8:53 PM
In my latest @towardsdatascience.com blog, I've used @langchain.bsky.social to show how to structure legal docs as a knowledge graph in @neo4j.com , and then implement a LangGraph agent with supporting benchmark to demonstrate the power of agentic GraphRAG.
towardsdatascience.com/agentic-grap...
towardsdatascience.com/agentic-grap...
Agentic GraphRAG for Commercial Contracts | Towards Data Science
Structuring legal information as a knowledge graph to increase the answer accuracy using a LangGraph agent
towardsdatascience.com
April 3, 2025 at 5:29 AM
In my latest @towardsdatascience.com blog, I've used @langchain.bsky.social to show how to structure legal docs as a knowledge graph in @neo4j.com , and then implement a LangGraph agent with supporting benchmark to demonstrate the power of agentic GraphRAG.
towardsdatascience.com/agentic-grap...
towardsdatascience.com/agentic-grap...
ナレッジグラフを活用するGraphRAGを俯瞰する
https://zenn.dev/zenkigen_tech/articles/0a25b2eaefb304
https://zenn.dev/zenkigen_tech/articles/0a25b2eaefb304
ナレッジグラフを活用するGraphRAGを俯瞰する
zenn.dev
March 11, 2025 at 1:38 PM
ナレッジグラフを活用するGraphRAGを俯瞰する
https://zenn.dev/zenkigen_tech/articles/0a25b2eaefb304
https://zenn.dev/zenkigen_tech/articles/0a25b2eaefb304
#NotebookLM-generated #podcast edition of the #newsletter article:
🎙 www.openlinksw.com/data/podcast...
Explore the #AI Agent page view here:
🔗 linkeddata.uriburner.com/assist-metal...
Subscribe to the #RSS feed:
🔗 www.openlinksw.com/data/podcast...
#KnowledgeGraph #GenAI #UseCase #RAG #GraphRAG
🎙 www.openlinksw.com/data/podcast...
Explore the #AI Agent page view here:
🔗 linkeddata.uriburner.com/assist-metal...
Subscribe to the #RSS feed:
🔗 www.openlinksw.com/data/podcast...
#KnowledgeGraph #GenAI #UseCase #RAG #GraphRAG
November 18, 2024 at 5:07 PM
#NotebookLM-generated #podcast edition of the #newsletter article:
🎙 www.openlinksw.com/data/podcast...
Explore the #AI Agent page view here:
🔗 linkeddata.uriburner.com/assist-metal...
Subscribe to the #RSS feed:
🔗 www.openlinksw.com/data/podcast...
#KnowledgeGraph #GenAI #UseCase #RAG #GraphRAG
🎙 www.openlinksw.com/data/podcast...
Explore the #AI Agent page view here:
🔗 linkeddata.uriburner.com/assist-metal...
Subscribe to the #RSS feed:
🔗 www.openlinksw.com/data/podcast...
#KnowledgeGraph #GenAI #UseCase #RAG #GraphRAG
GraphRAGで生成したKnowledge-GraphをNetworkXとPlotlyで描画しました！ | CCCMKホールディングス TECH LABの Tech Blog
Visualizing Knowledge-Graphs Generated with GraphRAG Using NetworkX and Plotly!
#DataVisualization #Knowledge-Graph - CCCMKホールディングス TECH LABの Tech Blog
はじめに 今回作ったグラフ 描画に使うデータ 作業の流れ 実際のコード ライブラリのインストール NetworkXによるNodeの配置 EdgeとTextの描画設定 Nodeの描画設定 Graphの描画 まとめ こんにちは、CCCMKホールディングス TECH LAB三浦です。 秋の晴れの日は本当に気持ちがいいですね！特に用もないのにふらっと外を歩きたくなります。 はじめに さて前回の記事ではMicrosoft Researchの"GraphRAG"というPythonのライブラリをご紹介しました。GraphRAGを使うと、LLMを利用してテキストデータからテキスト内に登場するEntity(物事…
techblog.cccmkhd.co.jp
October 20, 2024 at 8:07 PM
GraphRAGで生成したKnowledge-GraphをNetworkXとPlotlyで描画しました！ | CCCMKホールディングス TECH LABの Tech Blog
📝 Summary:
The document provides information about "autoflow," an open-source GraphRAG (Knowledge Graph) built on TiDB Vector, LlamaIndex, and DSPy. It includes features such as conversational search, an embeddable JavaScript snippet, deployment options, and the tech stack used. The document (1/2)
The document provides information about "autoflow," an open-source GraphRAG (Knowledge Graph) built on TiDB Vector, LlamaIndex, and DSPy. It includes features such as conversational search, an embeddable JavaScript snippet, deployment options, and the tech stack used. The document (1/2)
November 24, 2024 at 4:01 PM
📝 Summary:
The document provides information about "autoflow," an open-source GraphRAG (Knowledge Graph) built on TiDB Vector, LlamaIndex, and DSPy. It includes features such as conversational search, an embeddable JavaScript snippet, deployment options, and the tech stack used. The document (1/2)
The document provides information about "autoflow," an open-source GraphRAG (Knowledge Graph) built on TiDB Vector, LlamaIndex, and DSPy. It includes features such as conversational search, an embeddable JavaScript snippet, deployment options, and the tech stack used. The document (1/2)
GraphRAGをLangchain+Neo4jで構築！『ONE PIECE』について聞く GraphRAGはナレッジ...
https://highreso.jp/edgehub/machinelearning/graphrag.html
#LLM・RAG
Event Attributes
https://highreso.jp/edgehub/machinelearning/graphrag.html
#LLM・RAG
Event Attributes
January 29, 2025 at 2:35 AM
GraphRAGをLangchain+Neo4jで構築！『ONE PIECE』について聞く GraphRAGはナレッジ...
https://highreso.jp/edgehub/machinelearning/graphrag.html
#LLM・RAG
Event Attributes
https://highreso.jp/edgehub/machinelearning/graphrag.html
#LLM・RAG
Event Attributes
July 2, 2024 at 6:21 PM
今日のGitHubトレンド
OpenSPG/KAG
KAGは、OpenSPGエンジンと大規模言語モデルに基づいた論理推論・質問応答フレームワークです。
専門分野の知識ベース向けに、論理推論や事実に基づく質問応答ソリューションを構築します。
従来のRAGの曖昧さやGraphRAGのノイズ問題を克服し、論理推論や多段の事実質問応答を支援します。
専門分野での知識強化LLMサービスフレームワーク構築を目的とし、知識グラフの論理的・事実的特徴を統合します。
OpenSPG/KAG
KAGは、OpenSPGエンジンと大規模言語モデルに基づいた論理推論・質問応答フレームワークです。
専門分野の知識ベース向けに、論理推論や事実に基づく質問応答ソリューションを構築します。
従来のRAGの曖昧さやGraphRAGのノイズ問題を克服し、論理推論や多段の事実質問応答を支援します。
専門分野での知識強化LLMサービスフレームワーク構築を目的とし、知識グラフの論理的・事実的特徴を統合します。
GitHub - OpenSPG/KAG: KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge base
github.com
December 27, 2024 at 11:13 AM
今日のGitHubトレンド
OpenSPG/KAG
KAGは、OpenSPGエンジンと大規模言語モデルに基づいた論理推論・質問応答フレームワークです。
専門分野の知識ベース向けに、論理推論や事実に基づく質問応答ソリューションを構築します。
従来のRAGの曖昧さやGraphRAGのノイズ問題を克服し、論理推論や多段の事実質問応答を支援します。
専門分野での知識強化LLMサービスフレームワーク構築を目的とし、知識グラフの論理的・事実的特徴を統合します。
OpenSPG/KAG
KAGは、OpenSPGエンジンと大規模言語モデルに基づいた論理推論・質問応答フレームワークです。
専門分野の知識ベース向けに、論理推論や事実に基づく質問応答ソリューションを構築します。
従来のRAGの曖昧さやGraphRAGのノイズ問題を克服し、論理推論や多段の事実質問応答を支援します。
専門分野での知識強化LLMサービスフレームワーク構築を目的とし、知識グラフの論理的・事実的特徴を統合します。
"Enhancing Query Generation for LangChain" by Brian O'Keefe (AWS)
#genai #graphrag #prompt-engineering
#genai #graphrag #prompt-engineering
Enhancing Query Generation for LangChain
In "Exploration of Prompting Strategies for GraphRAG applications", we can solve more questions by enhancing code found in LangChain.
community.aws
May 12, 2025 at 2:30 PM
"Enhancing Query Generation for LangChain" by Brian O'Keefe (AWS)
#genai #graphrag #prompt-engineering
#genai #graphrag #prompt-engineering
He, Guo, Lam, Leung, He, Jiang, Wang, Xing, Chen: OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis https://arxiv.org/abs/2504.20118 https://arxiv.org/pdf/2504.20118 https://arxiv.org/html/2504.20118
April 30, 2025 at 5:58 AM
He, Guo, Lam, Leung, He, Jiang, Wang, Xing, Chen: OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis https://arxiv.org/abs/2504.20118 https://arxiv.org/pdf/2504.20118 https://arxiv.org/html/2504.20118
I am super excited to announce that my LinkedIn Learning course on GraphRAG has officially gone live! Plus you can get free access to the course for 24 hours!
www.linkedin.com/posts/dr-cla...
www.linkedin.com/posts/dr-cla...
I am extremely excited to share that my LinkedIn Learning course "GraphRAG Essential Training" has officially gone live! | Dr. Clair Sullivan
I am extremely excited to share that my LinkedIn Learning course "GraphRAG Essential Training" has officially gone live! This course assumes no knowledge of graphs or graph databases. With...
www.linkedin.com
July 11, 2025 at 2:41 PM
I am super excited to announce that my LinkedIn Learning course on GraphRAG has officially gone live! Plus you can get free access to the course for 24 hours!
www.linkedin.com/posts/dr-cla...
www.linkedin.com/posts/dr-cla...
Will GraphRAGs be an intrinsic feature in LegalTech ? GraphRAGs could transform legal intelligence by delivering explainable, context-aware and equitable insights at scale The post Will GraphRAGs b...
#AI #Features #graphRAG #LegalTech
Origin | Interest | Match
#AI #Features #graphRAG #LegalTech
Origin | Interest | Match
analyticsindiamag.com
July 31, 2025 at 12:39 PM
Opciones para Construir GraphRAG: Frameworks, Bases de Datos de Gráficos y Herramientas para Potenciar la Generación con Recuperación
https://eldinero.lat/posts/3134D363-EA97-4742-B63F-B03375BA3CCA
https://eldinero.lat/posts/3134D363-EA97-4742-B63F-B03375BA3CCA
June 4, 2025 at 6:24 AM
Opciones para Construir GraphRAG: Frameworks, Bases de Datos de Gráficos y Herramientas para Potenciar la Generación con Recuperación
https://eldinero.lat/posts/3134D363-EA97-4742-B63F-B03375BA3CCA
https://eldinero.lat/posts/3134D363-EA97-4742-B63F-B03375BA3CCA
arXiv:2505.24226v1 Announce Type: new
Abstract: Graph-based RAG methods like GraphRAG have shown promising global understanding of the knowledge base by constructing hierarchical entity graphs. However, they often suffer from inefficiency and rely on [1/5 of https://arxiv.org/abs/2505.24226v1]
Abstract: Graph-based RAG methods like GraphRAG have shown promising global understanding of the knowledge base by constructing hierarchical entity graphs. However, they often suffer from inefficiency and rely on [1/5 of https://arxiv.org/abs/2505.24226v1]
June 2, 2025 at 5:56 AM
arXiv:2505.24226v1 Announce Type: new
Abstract: Graph-based RAG methods like GraphRAG have shown promising global understanding of the knowledge base by constructing hierarchical entity graphs. However, they often suffer from inefficiency and rely on [1/5 of https://arxiv.org/abs/2505.24226v1]
Abstract: Graph-based RAG methods like GraphRAG have shown promising global understanding of the knowledge base by constructing hierarchical entity graphs. However, they often suffer from inefficiency and rely on [1/5 of https://arxiv.org/abs/2505.24226v1]
arXiv:2506.03939v1 Announce Type: new
Abstract: Graph Retrieval Augmented Generation (GraphRAG) effectively enhances external knowledge integration capabilities by explicitly modeling knowledge relationships, thereby improving the factual accuracy [1/7 of https://arxiv.org/abs/2506.03939v1]
Abstract: Graph Retrieval Augmented Generation (GraphRAG) effectively enhances external knowledge integration capabilities by explicitly modeling knowledge relationships, thereby improving the factual accuracy [1/7 of https://arxiv.org/abs/2506.03939v1]
June 5, 2025 at 5:56 AM
arXiv:2506.03939v1 Announce Type: new
Abstract: Graph Retrieval Augmented Generation (GraphRAG) effectively enhances external knowledge integration capabilities by explicitly modeling knowledge relationships, thereby improving the factual accuracy [1/7 of https://arxiv.org/abs/2506.03939v1]
Abstract: Graph Retrieval Augmented Generation (GraphRAG) effectively enhances external knowledge integration capabilities by explicitly modeling knowledge relationships, thereby improving the factual accuracy [1/7 of https://arxiv.org/abs/2506.03939v1]
We're excited to have Nyah Macklin, Senior Developer Advocate for Neo4j, presenting "Is Your LLM Lying to You? Ensuring Factual Accuracy with GraphRAG and Knowledge Graphs" at #AllThingsOpen! 2025.allthingsopen.org/sessions/is-...
September 11, 2025 at 2:00 PM
We're excited to have Nyah Macklin, Senior Developer Advocate for Neo4j, presenting "Is Your LLM Lying to You? Ensuring Factual Accuracy with GraphRAG and Knowledge Graphs" at #AllThingsOpen! 2025.allthingsopen.org/sessions/is-...
💡 RAG is not enough for building #LLM applications: hallucinations or long queries bog down performance are some of the results.
What do you need? Advanced RAG techniques.⚠️
https://bit.ly/4o0856t
#GraphRAG #Neo4j
What do you need? Advanced RAG techniques.⚠️
https://bit.ly/4o0856t
#GraphRAG #Neo4j
October 22, 2025 at 3:27 PM
💡 RAG is not enough for building #LLM applications: hallucinations or long queries bog down performance are some of the results.
What do you need? Advanced RAG techniques.⚠️
https://bit.ly/4o0856t
#GraphRAG #Neo4j
What do you need? Advanced RAG techniques.⚠️
https://bit.ly/4o0856t
#GraphRAG #Neo4j
Join us today for Entity Architecture for Efficient RAG on Graphs #graphrag #entity #knowledgegraph
youtube.com/live/O9vf7Au...
youtube.com/live/O9vf7Au...
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youtube.com
January 22, 2025 at 11:02 AM
Join us today for Entity Architecture for Efficient RAG on Graphs #graphrag #entity #knowledgegraph
youtube.com/live/O9vf7Au...
youtube.com/live/O9vf7Au...
Diffbot’s AI model doesn’t guess — it knows, thanks to a trillion-fact knowledge graph https://venturebeat.com/ai/diffbots-ai-model-doesnt-guess-it-knows-thanks-to-a-trillion-fact-knowledge-graph/ #AI #GraphRAG
January 9, 2025 at 11:49 PM
Diffbot’s AI model doesn’t guess — it knows, thanks to a trillion-fact knowledge graph https://venturebeat.com/ai/diffbots-ai-model-doesnt-guess-it-knows-thanks-to-a-trillion-fact-knowledge-graph/ #AI #GraphRAG
#SAP announced #SAPBusinessDataCloud today, a collaboration with #DataBricks. It is in principle a good idea to collect all business data for #AI use cases. But, albeit using knowledge graph via #GraphRAG, the final reasoning is still left to - you guessed it - the hallucinating #LLM. #ABAP
February 13, 2025 at 10:21 PM
#SAP announced #SAPBusinessDataCloud today, a collaboration with #DataBricks. It is in principle a good idea to collect all business data for #AI use cases. But, albeit using knowledge graph via #GraphRAG, the final reasoning is still left to - you guessed it - the hallucinating #LLM. #ABAP
Bring transparency to #GraphRAG workflows - from processing PDFs and emails to refining real-time insights - with #SightXR & #Kùzu. We're working on making it simpler and more transparent to transform unstructured data into knowledge graphs at scale.
See for yourself: medium.com/kineviz/sigh...
See for yourself: medium.com/kineviz/sigh...
SightXR & Kùzu for building rapid, transparent knowledge graphs
A common hurdle in adopting graph databases is the complexity of setting up and managing traditional server-based infrastructures. To…
medium.com
April 1, 2025 at 5:56 PM
Bring transparency to #GraphRAG workflows - from processing PDFs and emails to refining real-time insights - with #SightXR & #Kùzu. We're working on making it simpler and more transparent to transform unstructured data into knowledge graphs at scale.
See for yourself: medium.com/kineviz/sigh...
See for yourself: medium.com/kineviz/sigh...
Prashanth Rao @ KùzuDB shows construction of a KG based on the program content from Connected Data London 2021. The data model incorporates both a domain graph and a lexical graph, based on KùzuDB, then uses GraphRAG to provide a chat bot as a Streamlit app.
blog.kuzudb.com/post/llms-in...
blog.kuzudb.com/post/llms-in...
December 24, 2024 at 6:37 PM
Prashanth Rao @ KùzuDB shows construction of a KG based on the program content from Connected Data London 2021. The data model incorporates both a domain graph and a lexical graph, based on KùzuDB, then uses GraphRAG to provide a chat bot as a Streamlit app.
blog.kuzudb.com/post/llms-in...
blog.kuzudb.com/post/llms-in...