knowledge map

Comprehensive Introduction KGGen is an open source tool developed by the Stanford Trusted Artificial Intelligence Research Lab (STAIR Lab), hosted on GitHub, designed to automatically generate knowledge graphs from arbitrary text. It uses advanced language modeling and clustering algorithms to take unstructured text...

Comprehensive Introduction KAG (Knowledge Augmented Generation) is a logical form-guided reasoning and retrieval framework based on the OpenSPG engine and Large Language Models (LLMs). The framework is specialized for building specialized domain knowledge bases...

Comprehensive Introduction OpenSPG is an open source knowledge graph engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic Augmented Programmable Graph) framework. The engine is designed to provide features such as explicit semantic representation, logical rule definition and operational framework to support the construction and management of domain knowledge graphs...

General Introduction Graphiti is a tool developed by getzep for building and querying dynamic, time-aware knowledge graphs. It is capable of representing complex and evolving relationships between entities and querying them through a variety of methods including temporal, full-text, semantic, and graph algorithms.Grap...

General Introduction Cognee is a reliable data layer solution designed for AI applications and AI agents. Designed to load and build LLM (Large Language Model) contexts to create accurate and interpretable AI solutions through knowledge graphs and vector stores. The framework favors cost-saving, interpretable...

Comprehensive Introduction GraphRAG-Dify is an open source project designed to combine GraphRAG and Dify technology to quickly create and deploy AI Agents.The project utilizes FastAPI and Uvicorn for service building and supports DSL import for easy...

Comprehensive Introduction Knowledge Graph Studio (KGS) is an open source platform designed to simplify the process of creating and managing RAG-native knowledge graphs. The platform provides rule-based entity resolution, modular graph construction, flexible data...

General Introduction Kotaemon is an open source document Q&A tool designed to provide end-users and developers with Q&A functionality based on Retrieval Augmented Generation (RAG). The project is developed by Cinnamon and supports a variety of LLM API providers (e.g. OpenA...

General Introduction Zep is a platform designed to provide long-lasting memory solutions for AI applications.Zep helps AI assistants continuously learn and memorize user interactions to build the user's knowledge graph.Zep supports multiple programming languages and frameworks, including Python, TypeScrip...

Comprehensive Introduction PocketFlow is a lightweight AI application development framework with only 100 lines of code, developed by The-Pocket team and open-sourced on GitHub. It pursues a minimalist design , the core code control in 100 lines , no external dependencies ...

A nice tool to build incremental knowledge graphs based on LLM: itext2kg iText2KG Plug and play, suitable for a variety of scenarios, such as scientific papers, websites, CV's graph conversion, performance better than the existing baseline Features: 1, you can constantly update the knowledge graph based on new documents...

General Introduction Memary is an innovative open source project focused on providing long-term memory management solutions for autonomous intelligences. The project helps intelligences break through the limitations of traditional context windows to achieve smarter interaction experiences through knowledge graphs and specialized memory modules.Memary adopts...

Comprehensive introduction Yuxi-Know is an open source intelligent Q&A platform that combines knowledge graph and RAG (Retrieval Augmented Generation) technology to help users quickly get accurate answers. It is based on Neo4j storage knowledge graph , using FastAPI and VueJS structure ...

Comprehensive Introduction MiniRAG is an extremely simple Retrieval Augmented Generation (RAG) framework that aims to enable good RAG performance even for small models through heterogeneous graph indexing and lightweight topology-enhanced retrieval. It is developed by the Data Science Laboratory of the University of Hong Kong (HKUDS) to address ...

General Introduction Basic Memory is a tool for building knowledge graphs by conversing with AI assistants such as Claude. It was developed by Basic Machines and its core feature is to save conversations as Markdown files, save...

Comprehensive Introduction Fast GraphRAG is an open source tool developed by Circlemind AI to enable efficient and accurate retrieval augmentation generation (RAG) through knowledge graph and PageRank algorithms. The tool intelligently adapts to the user's use...

General Introduction Memora is an agent designed to replicate human memories for each personalized AI. It helps AIs remember details of past interactions, emotions, and shared experiences just like humans do through features like timestamped memories, emotion markers, and multimodal memories.Memora supports multi-tenancy and is capable of handling...

General Introduction GraphRAG Visualizer is a web-based tool designed to help users visualize and explore artifacts from Microsoft GraphRAG. By uploading Par...

Comprehensive Introduction GraphGen is an open source framework developed by OpenScienceLab, an AI lab in Shanghai, hosted on GitHub, focused on optimizing supervised fine-tuning of Large Language Models (LLMs) by guiding synthetic data generation through knowledge graphs. It was developed from ...

Comprehensive Introduction Diffbot LLM Reasoning Server is an innovative large-scale language modeling system with special optimizations and improvements based on the LLama model architecture. The most important feature of the project is the integration of real-time Knowledge Graph with retrieval-enhanced generation...

The GraphRAG project aims to extend the range of questions that AI systems can answer on private datasets by exploiting implicit relationships in unstructured text. A key advantage of GraphRAG over traditional vector RAG (or "semantic search") is its ability to answer questions about...

Comprehensive Introduction Knowledge Table (Knowledge Table) is an open source project designed to simplify the process of extracting and exploring structured data from unstructured documents. Users can create structured knowledge representations such as tables and graphs through a natural language query interface. The tool supports customizing the extraction ...

General Introduction AutoFlow is an open source tool developed by PingCAP to build graph-based knowledge bases with TiDB serverless vector storage. It integrates LlamaIndex and DSPy frameworks to support complex dialog search and knowledge graph...

A Comprehensive Introduction SimGRAG (SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented G...

Comprehensive Introduction Unigraph is a local-first general-purpose knowledge graph and personal search engine designed to provide users with an integrated workspace to help manage and search for a wide variety of data in their personal lives. With Unigraph, users can integrate data from different sources into a...

Project address: https://github.com/topoteretes/cognee/ Original text You are a top-tier algorithm designed for extracting...

General Introduction GraphAgent is an open source framework hosted on GitHub and developed by Ji-Cather. It uses the Large Language Model (LLM) to simulate human behavior and generate dynamic, social graphs with textual attributes. This tool is suitable for online social media...

Comprehensive Introduction GraphAgent is an automated intelligent body system that integrates graph generation, task planning and task execution. It is capable of processing structured and unstructured data, building complex semantic dependency graphs, and efficiently executing user tasks through self-planning and tool matching.Graph...

Introduction GraphRAG (Graph Structure Based Retrieval Enhanced Generation) is an advanced retrieval and generation method. It combines the advantages of graph data structures with the capabilities of Large Language Models (LLMs) to overcome some of the limitations of traditional RAG systems. https://githu...