Memory for AI Agents in 6 lines of code
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Updated
Nov 22, 2025 - Python
Memory for AI Agents in 6 lines of code
Neuro-Symbolic AI with Knowledge Graph | "True Reasoning" through data and logic 🌿🌱🐋🌍
A Graph RAG System for Evidenced-based Medical Information Retrieval [ACL 2025]
VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution
Demo of knowledge graph creation and Graph RAG with BAML and Kuzu
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
Code from the ODSC Agentic Graph RAG workshop combining vector, FTS & graph retrieval for RAG. Includes observability and guardrails for evaluating outputs.
AMG-RAG (Agentic Medical Graph-RAG) is a comprehensive framework that automates the construction and continuous updating of Medical Knowledge Graphs (MKGs), integrates reasoning, and retrieves current external evidence for medical Question Answering (QA).
Structural RAG (Retrieval-Augmented Generation) system for large codebases
🚀 HAG: Next-Gen AI | Neo4j + Weaviate Fusion | Dual-Similarity Retrieval | 100% Local & Private | Graph Intelligence Meets Vector Search
Experiments and benchmarks with Text2Cypher for Graph RAG
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.
This is the repo for the journal paper GISphere Knowledge Graph for Geography Education: Recommending Graduate Geographic Information System/Science Programs
A graph machine learning enabled engine (GML-Enabled)
Too Long, Didn't Read, Let's Chat
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