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Easiest and laziest way for building multi-agent LLMs applications.
AI-powered StartUp Accelerator Engine built with Next.js, LangChain, PostgreSQL + pgvector. Upload, organize, and chat with documents. Includes predictive missing-document detection, role-based workflows, and page-level insight extraction.
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 graph RAG (GraphRAG) for C/C++ development based on clang/clangd
Build ontology view step-by-step on OpenGroup's ArchiMate 3.2 Specification
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).
Python API abstracts OWL, SHACL and SPARQL for construction, navigation, analysis and visualization of semantically typed simplicial complex
Python implementation of W3C CSV on the Web recommendation
RAG with LLM agents for SQL & graph databases
A Cross-Platform Knowledge Layer for Agentic Systems
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.
x-brain — local-first X reposts → knowledge base + mind graph. 5-level pipeline (enumerate → enrich → links → vision → routed LLM fast/standard/deep/uncensored → deep curation → fusion) + Obsidian vault export. One SQLite file, resumable, runs on a 6GB GPU.
Lightweight Java Jersey Servlet for serving SUMMA API summaries
Aligning geographic entities from historical maps for building knowledge graphs
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