knowledge map

RAG-Anything is a fully integrated multimodal document processing RAG system built on LightRAG. Most of the traditional question and answer systems (RAG) can only process plain text content, but the documents we come into contact with on a daily basis, such as PDFs, Word documents or presentations, often contain text, images, tables...

Core is an open source tool developed by RedPlanetHQ to provide personalized memory storage capabilities for large models (LLMs). With Core, users can build and manage their own memory maps, saving text, conversations, or other data to a private knowledge base. This tool supports the integration of users with the Big...

OntoCast is an open source framework hosted on GitHub that focuses on extracting semantic triples from documents to build knowledge graphs. It combines ontology management, natural language processing and knowledge graph serialization techniques to transform unstructured text into structured, queryable data.OntoCast uses ontology...

Praxos.ai is a kernel designed for AI Agents. It provides a development environment designed to address common challenges when building AI Intelligents, such as context management confusion, complex cue engineering, and system runtime failures. The core of Praxos works by combining various incoming...

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 constructs fine-grained knowledge graphs from source text, utilizing the expected calibration error...

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 to store the knowledge graph , using FastAPI and VueJS to build the back-end and front-end , support a variety of big models , such as OpenAI, D...

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 is controlled in 100 lines, there are no external dependencies, and there are no vendor bindings. Developers can use it to quickly build AI applications , ....

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 scenarios such as online social media, e-commerce, and essay creation, helping users to deeply compartmentalize...

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 global queries over entire datasets, such as...

Basic Memory is a tool for building knowledge graphs by conversing with AI assistants such as Claude. Developed by Basic Machines, its core feature is that it saves conversations as Markdown files, which are stored on the user's local computer, ensuring that the data is completely under the user's control. The tool passes...

KGGen is an open source tool developed by the Stanford Trusted Artificial Intelligence Research Laboratory (STAIR Lab), hosted on GitHub, designed to automatically generate knowledge graphs from arbitrary text. It uses advanced language models and clustering algorithms to transform unstructured text data into structured entities and relationships...

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 such as temporal, full-text, semantic and graph algorithms.Graphiti can handle both unstructured and...

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 usage scenarios, data and query requirements, providing interpretable, low-cost and efficient ....

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 unified knowledge graph, enabling high...

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. Developed by the Hong Kong University Data Science Laboratory (HKUDS), the project focuses on addressing small language models (SLMs) in the context of existing RA...

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

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 a user's knowledge graph.Zep supports a variety of programming languages and frameworks, including Python, TypeScript, and Go, and can integrate user chat history and business data...

The 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 this project is the combination of real-time Knowledge Graph with Retrieval Augmented Generation (RAG) technology to create a unique GraphRA ....

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, constructing complex semantic dependency graphs, and efficiently executing user tasks through self-planning and tool matching.GraphAgent on multiple datasets ...