Neo4j graph construction from unstructured data using LLMs

Reliable LLM Memory for AI Applications and AI Agents

Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍

Medical Graph RAG: Graph RAG for the Medical Data

Connect your AI app directly to your data with a full stack solution. Fully connected Agentic Graph RAG pipelines mean you can focus on fine tuning your app and not building data infrastructure.

《动手学SpringAI》包含SSE流/Agent智能体/知识图谱RAG/FunctionCall/历史消息/图片生成/图片理解/Embedding/VectorDatabase/RAG

Active WIP for experimenting with GraphRAG and Knowledge Graphs

A minimal implementation of GraphRAG, designed to quickly prototype whether you're able to get good sense-making out of a large dataset with creation of a knowledge graph.

Graph RAG workshop using Kùzu and LanceDB for hybrid RAG

Demo of knowledge graph creation and Graph RAG with BAML and Kuzu

An intelligent system that revolutionizes contract management using AI, graph databases, and DocuSign integration. Transform dense legal documents into actionable insights with automated analysis, real-time tracking, and a smart chatbot interface. Built with OpenAI, Neo4j, and FastAPI.

A graph machine learning enabled engine (GML-Enabled)

Too Long, Didn't Read, Let's Chat

UltraRepo Graph RAG provides AI agents access to massive code, doc, and data repos via Knowledge Graphs (KG). KGs are generated in Neo4j and accessible via FastAPI and vector DBs. Provides AI agents with better accuracy, scalability, and reasoning over large repos.

Microsoft Graph-RAG Indexing and Quering

Wikit RAG Arena

Anyparser Typescript SDK for RAG/ETL Pipelines - File Content Extraction. Supports extraction from various file formats including PDF, Microsoft Office documents, OCR/Image to Text, Audio to Text, and Website to Text.

A framework to enable retrieval augmented generation (RAG) with knowledge graphs for chat applications.