Easiest and laziest way for building multi-agent LLMs applications.
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Updated
Jun 18, 2025 - Python
Easiest and laziest way for building multi-agent LLMs applications.
A collection of graph foundation models including papers, codes, and datasets.
Qanary a methodology to construct and share resources to build QA systems
Source code for Make it Easy: An Effective End-to-End Entity Alignment Framework. SIGIR 2021.
Drama-Graph repository produces both knowledge base on drama scripts and video graph for Video Turing Test (VTT).
Build ontology view step-by-step on OpenGroup's ArchiMate 3.2 Specification
Python implementation of W3C CSV on the Web recommendation
RAG with LLM agents for SQL & graph databases
Developed an android mobile app (GreenFinder), trained, and evaluated two deep learning image classification models for the use-case. The mobile app classifies scanned fruits, vegetables and flowers, as well as provides knowledgeable information on each classified item.
Aligning geographic entities from historical maps for building knowledge graphs
Lightweight Java Jersey Servlet for serving SUMMA API summaries
A visualisation which represents technology stack
Creating and Implementing FalkorDB Knowledge Graph.
Python tool to find semantically related Joplin notes using AI embeddings (via a configurable API) and cosine similarity. Features smart caching to save costs and outputs potential content links to a Markdown file.
HyponymyExtraction and Graph based on KB Schema, Baike-kb and online text extract, 基于知识概念体系,百科知识库,以及在线搜索结构化方式的词语上下位抽取与可视化展示
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