Statistics for topic knowledge-graph
RepositoryStats tracks 593,362 Github repositories, of these 383 are tagged with the knowledge-graph topic. The most common primary language for repositories using this topic is Python (192). Other languages include: Jupyter Notebook (33), JavaScript (26), TypeScript (23), Java (18)
Stargazers over time for topic knowledge-graph
Most starred repositories for topic knowledge-graph (view more)
Trending repositories for topic knowledge-graph (view more)
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
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
Prompt-To-Agent : Create custom engineering agents for your codebase
Python library for Entities, relationships and schemas extraction from documents
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 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
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...
Prompt-To-Agent : Create custom engineering agents for your codebase
Discover the Knowledge Trapped in Data Silos with a Fully Agentic, No-code AI System⚡🚀
Learn Agentic AI using CrewAI, LangChain, LangGraph, and Knowledge Graphs.
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
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...
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...
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
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
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
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
