Create knowledge graphs with LLMs

Turn any collection of documents into a knowledge graph. Extract entities and relationships via LLM, deduplicate with your approval. Map domains, find hidden connections, spot patterns across documents — knowledge that persists and compounds, for you and your AI agents. All from the CLI.

Automatic Ontology and Knowledge Graph construction with LLM

GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration

Integrating knowledge graphs (KG) with large language models (LLM)

Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

An Open Source, Claude Code Like Tool, With RAG + Graph RAG + MCP Integration, and Supports Most LLMs (Incomplete But Functional & Usable)Autonomous LLM agent: ChromaDB semantic RAG + Neo4j knowledge-graph sync + MCP tool-call gateway.

The long-term memory for your Superagents 🥷and LLMs 🤖. Built with GraphRAG, Knowledge graphs and autonomous ai agents

demo app for Knowledge Graph Build with LLM LlamaIndex and NebulaGraph

An advanced retrieval system that combines semantic vector search with token-based search, using contextual chunking and knowledge graphs to improve accuracy. It ensures precise query responses with LLM-based answer checking and graph visualization.

LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with Claude Code, OpenClaw, and any CLI agent.

Interesting Scientific Idea Generation Using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders

A knowledge base backend system for LLMs with full-text search, semantic retrieval, and knowledge graph querying. Ready-to-use modules for document processing and RAG, enabling quick deployment of enterprise knowledge retrieval systems.

Build a meeting knowledge graph from Google Drive using LLM extraction and graph database, with automatic continuous updates.

This project is designed for a simple LLM agent with tools on a clinical knowledge graph in Neo4j.

Integrated LLM-based document and data Q&A with knowledge graph visualization

Knowledge Graph Embeddings (KGE) for RAG-LLMs. Our goal was to compare the mathematical differences between Traditional Static Multimodal Vector Embeddings (TVE) from Word2Vec and CLIP encoders for {text:image} datasets, and Knowledge Graph Embeddings (KGE) generated with REBEL triplets trained on PyKeen.

Getting started with BAML for creating and querying knowledge graphs with LLMs

Give your AI tools architecture-aware reasoning. Knowledge graph from any codebase — 14 LLM backends, impact analysis, confidence scores. Works with Claude Code, Cursor, VS Code Copilot.

[ICLR'26] AtlasKV: A scalable, effective, and general way to augment LLMs with billion-scale knowledge graphs using very little GPU memory cost.

Integrates LangChain with SAP HANA Cloud to make use of vector search, knowledge graph, and further in-database capabilities as part of LLM-driven applications.

Prompt-based pipeline for extracting procedural knowledge graphs from text with LLMs

🧠 AI Second Brain — 100% Local Knowledge Management Private, self-hosted second brain. Store, search, and synthesize documents, images, and ideas with local LLMs (LLaVA, CLIP) and PostgreSQL + pgvector. Features multimodal search, knowledge graphs, gDrive streaming, and real-time analysis — all offline, no API keys, no cloud, no limits.

This project compares manually curated knowledge graphs with those automatically generated by Ollama Gemma 7B, a large language model (LLM). By analyzing their differences and similarities, this research provides insights into the strengths and limitations of both manual and AI-based approaches to knowledge graph generation.

Unleashing Explainable Reasoning in LLMs with Knowledge Graphs

Open-source global legislation data in an SQL knowledge-graph format ideal for use with LLMs: Download legislation data in bulk and immediately start building with our Python/Typescript SDKs. Democratize Legal Knowledge For All

Build knowledge graphs from biomedical literature and query them with an LLM agent

Webinar content for Empower LLMs with Knowledge Graphs

Generating Knowledge Graphs from cyber security reports with LLMs and neo4j

Local-first knowledge graph for developers. Watches your files, builds a knowledge graph with LLMs, lets you query across projects.