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
Deploy agentic reasoning in a scalable and reliable platform in minutes. Become an on demand subject matter expert by loading portable cognitive cores for the most complex knowledge work. 🧠
《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
A graph machine learning enabled engine (GML-Enabled)
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.
Too Long, Didn't Read, Let's Chat
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.
Master-Thesis project to extract named entities, resolved coreferences and topics of news article sentences to be stored in neo4j Knowledge Graph. Enriched with data from Wikidata, DPPedia data. Graph can be queried by OpenAI chat bot.
A framework to enable retrieval augmented generation (RAG) with knowledge graphs for chat applications.
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