Trending repositories for topic knowledge-graph
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Neo4j graph construction from unstructured data using LLMs
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...
Facilitate the creation of graph-based Retrieval-Augmented Generation (GraphRAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constra...
中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc
Prompt-To-Agent : Create custom engineering agents for your codebase
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
Facilitate the creation of graph-based Retrieval-Augmented Generation (GraphRAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
Prompt-To-Agent : Create custom engineering agents for your codebase
A skill-based platform for ROS v.2 with knowledge representating, planning and reasoning
Knowledge graph for Notion, like obsidian.md or Roam research / https://graphcentral.github.io/graph
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef...
Automatic Ontology and Knowledge Graph construction with LLM
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...
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constra...
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications
Interact with the Deep Search platform for new knowledge explorations and discoveries
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
Prompt-To-Agent : Create custom engineering agents for your codebase
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...
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
Neo4j graph construction from unstructured data using LLMs
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constra...
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
Facilitate the creation of graph-based Retrieval-Augmented Generation (GraphRAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Prompt-To-Agent : Create custom engineering agents for your codebase
Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
Facilitate the creation of graph-based Retrieval-Augmented Generation (GraphRAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
Automatic Ontology and Knowledge Graph construction with LLM
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...
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef...
Python library for Entities, relationships and schemas extraction from documents
A skill-based platform for ROS v.2 with knowledge representating, planning and reasoning
Performant graph visualization on the web with WebGL + Webworkers + IndexedDB / https://graphcentral.github.io/graph
A Declarative framework for Building, Maintaining, and Analyzing Graph Data
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef...
A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization ...
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
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...
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
Prompt-To-Agent : Create custom engineering agents for your codebase
Neo4j graph construction from unstructured data using LLMs
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constra...
Facilitate the creation of graph-based Retrieval-Augmented Generation (GraphRAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef...
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef...
Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
Prompt-To-Agent : Create custom engineering agents for your codebase
Facilitate the creation of graph-based Retrieval-Augmented Generation (GraphRAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.
Official Implementation of ACL2024 paper "Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs"(https://arxiv.org/abs/2402.11199).
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...
Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
A curated list of resources for graph-related topics, including graph databases, analytics and science
Discover the Knowledge Trapped in Data Silos with a Fully Agentic, No-code AI System⚡🚀
Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipeline
Automatic Ontology and Knowledge Graph construction with LLM
TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design
[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
Neo4j graph construction from unstructured data using LLMs
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
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...
Prompt-To-Agent : Create custom engineering agents for your codebase
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
LLM powered retrieval engine designed to process a ton of sources to collect a comprehensive list of entities.
AutoNode: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation
Discover the Knowledge Trapped in Data Silos with a Fully Agentic, No-code AI System⚡🚀
Facilitate the creation of graph-based Retrieval-Augmented Generation (GraphRAG), seamless integration with OpenAI to enable advanced data querying and knowledge graph construction.
Automatic Ontology and Knowledge Graph construction with LLM
A privacy-first, open-source platform for knowledge management and collaboration. Download link: http://github.com/logseq/logseq/releases. roadmap: http://trello.com/b/8txSM12G/roadmap
Neo4j graph construction from unstructured data using LLMs
pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
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...
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constra...
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
Build your personal knowledge base with TriliumNext Notes
Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks
Python library for Entities, relationships and schemas extraction from documents
OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constra...
[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.
Official Implementation of "Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models".
A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Ef...
This is the official github repo of Think-on-Graph (ICLR 2024). If you are interested in our work or willing to join our research team in Shenzhen, please feel free to contact us by email (xuchengjin@...
Benchmark study on KùzuDB, an embedded OLAP graph database, on an artificial social network dataset
A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).
