Local Knowledge Graph

Utilize a local Llama model to build a knowledge graph and explore related questions and answers.

CommonProductProgrammingKnowledge GraphLlama Model

Local Knowledge Graph is a Flask-based web application that uses a local Llama language model to process user queries, generate step-by-step reasoning, and visualize the thought process in an interactive knowledge graph format. It can also find and display relevant questions and answers based on semantic similarity. Key advantages of this application include real-time visualization of the reasoning process, dynamic knowledge graph representation, computation and display of the strongest reasoning paths, and related Q&A based on semantic similarity.

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Local Knowledge Graph

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Graphusion — A pipeline tool for extracting knowledge graph triples from text.

Virtual Try-On Application — A virtual try-on application that allows users to try on clothes by sending images through WhatsApp.

Knowledge Table — An open-source tool that simplifies the extraction and exploration of structured data from unstructured documents.

GraphReasoning — Graph-based scientific discovery and knowledge extraction

Fine AI Coding Workflows — Leverage AI to automate development processes and enhance development efficiency.

muAgent — An innovative agent framework driven by a knowledge graph engine.

iText2KG — Incrementally build knowledge graphs using large language models.

fact-finder — An intelligent question-answering system based on knowledge graphs.

Easy-RAG — A RAG system suitable for learning, use, and self-extension.

Triplex — An open-source knowledge graph construction model with low costs.

Memary — An open-source memory layer that provides human-like memory functions for autonomous agents.

The Knowledge Graph Maker — A Python tool for converting text into knowledge graphs.

RDFox — High-performance knowledge graph database and reasoning engine

llm-graph-builder — Neo4j Application for Building Knowledge Graphs

meet-libai — Promoting Li Bai's poetic culture through AI intelligent agents

Knowledge Graph RAG — Enhances the performance of language models using knowledge graphs and document networks

Prompto — Prompto is an open-source web application aimed at making interaction with LLMs simple and efficient.

Prettygraph — An experimental UI that transforms text into knowledge graphs.

GraphRAG — An end-to-end system that integrates text extraction, network analysis, and large language model prompting and summarization

Pongo — Pongo, a semantic filter, can reduce LLM hallucinations in RAG workflows by up to 80% with a single line of code.

MyGO — Multimodal Knowledge Graph Completion Tool

MindGraph — A concept proof for an AI-generated and continuously expanding knowledge graph.

360AI Search — A new generation AI search engine launched by 360 Group

360AI Search App — A new generation AI search engine launched by 360 Group

FaLaoAI — An AI legal professional that simulates neural network dialogue.

QAnything — QAnything is a local knowledge question-and-answer system that supports any file format and database

KG_RAG — A knowledge graph augmented retrieval-generation framework that empowers large language models to handle knowledge-intensive tasks.

KnowledgeGraph GPT — Utilizes the GPT-3 model to convert unstructured text data into a structured knowledge graph representation.

Microsoft Knowledge Exploration — Leverage the Knowledge Exploration API to achieve an interactive search experience for structured data through natural language input.