Best AI tools for< Review Knowledge Graph >

The AI Audit Bot is an AI compliance auditing tool designed to help users understand and mitigate compliance risks associated with AI projects. It uses Intelligent Knowledge Graph technology to provide insights on current and future compliance considerations. The tool supports jurisdictions like the USA, the EU, and the UK, with plans to add more. The audit results are transparent, traceable, and presented in a downloadable PDF format. The tool is created by Dr. Andy Edmonds, a pioneer in AI ethics and transparency. It aims to inform users of potential compliance issues and offers a human review option for complex cases.

SOMA is a Research Automation Platform that accelerates medical innovation by providing up to 100x speedup through process automation. The platform collates and analyzes medical research articles, extracting important concepts and identifying causal and associative relationships between them. It organizes this information into a specialized database forming a knowledge graph. Researchers can retrieve causal chains, access specific research articles, and perform tasks like concept analysis, drug repurposing, and target discovery. SOMA enhances literature review by finding relevant articles based on the mechanism of action, saving time on organizing reviews and allowing researchers to focus on their own research. The platform offers freemium access with basic functionality for free indefinitely, with the option to subscribe to advanced features after a 14-day trial period.

Contify is a comprehensive market and competitive intelligence platform that helps businesses track information on competitors, customers, and industry segments. It enables users to collect, curate, and share actionable intelligence across their organization. Contify delivers 360° market and competitive intelligence, providing insights to make better decisions faster. The platform offers features such as customizable dashboards, contextual knowledge graphs, AI-powered solutions, noise-free news access, and advanced filtering capabilities.

PullRequest is an AI-powered code review as a service platform that offers on-demand code review from expert engineers enhanced by AI. It supports all languages and frameworks, helping development teams of any size ship better, more secure code faster through AI-assisted code reviews. PullRequest integrates with popular version control platforms like GitHub, GitLab, Bitbucket, and Azure DevOps, providing valuable knowledge sharing with senior engineers to improve code quality and security. The platform ensures code safety and security by adhering to best practices, strict procedures, and employing reviewers based in the US, the UK, or Canada.

Zendy is an AI-powered research library and AI assistant that empowers users to explore open access and paywalled academic literature across all disciplines. It offers tools for faster reading and citing of research papers, including AI summarization, key phrase highlighting, and organizing reading lists. With a user-friendly interface, Zendy helps users save time during literature review, making research more efficient and productive.

dexa.ai is an AI tool designed to verify the security of user connections. It ensures that the connection is secure before proceeding with any actions. The tool may prompt users to enable JavaScript and cookies for a seamless experience. dexa.ai focuses on enhancing security measures and performance for users accessing various online platforms.

CreateDraft is a legal document automation tool that uses artificial intelligence to help users draft, review, and analyze legal documents. The tool offers a variety of features, including the ability to summarize documents, get key insights, draft agreements from documents, analyze and review contracts, and chat with documents. CreateDraft also offers over 340 templates to automate legal drafting, making it easy for users to create high-quality documents quickly and easily.

Pika is a custom ChatGPT tool designed for websites, allowing users to transform their knowledge base into a chat interface, create and embed custom AI assistants, and more. It enables natural language searching, highlights missing information, and offers personalized chatbot customization options. Pika offers various pricing plans with features like chatbot creation, message credits, character limits, analytics, and support options. It aims to enhance online interactions by providing efficient information retrieval and user engagement.

Outlit is a contract management software that uses AI to help companies reduce overhead costs and streamline workflows. It automates manual, tedious, and costly tasks such as risk analysis, negotiation, and contract knowledge base creation.

Instant Answers is an AI-powered chatbot builder that enables users to create customized chatbots for their websites in minutes. The platform allows users to train their chatbots to provide instant answers to a wide range of questions by uploading documents or inputting website URLs. With features like easy customization, effortless integration, conversation analytics, and dynamic learning, Instant Answers offers a user-friendly interface for enhancing customer service and engagement.

LegalOn Technologies is a global leader in AI contract review software, providing a platform that enables users to negotiate stronger contracts up to 85% faster. The application offers pre-built and custom AI playbooks, built by experienced attorneys, to ensure high-quality contract reviews. LegalOn's AI is anchored in attorney-written content and rigorously tested, providing accurate and up-to-date legal knowledge for reliable results. The platform is SOC 2 Type II certified, GDPR, and CCPA compliant, prioritizing security and privacy for user data.

包阅AI is an intelligent AI reading assistant that covers various scenarios such as paper reading, legal analysis, scientific research, marketing, education, brand analysis, and business understanding. It supports multiple document formats like PDF, Word, PPT, EPUB, Mobi, TXT, and Markdown. The tool offers features like document interpretation, web page summarization, contract review, resume analysis, and financial document analysis. With the ability to analyze over 50,000 documents and assist more than 100,000 knowledge workers efficiently, it aims to enhance work and study productivity through AI-powered assistance.

GuruPod is a mobile-native podcast AI platform that offers efficient transcription and intelligent interpretation services to help users 'smart read' podcasts. It addresses common challenges faced by podcast enthusiasts, such as low information retrieval efficiency, difficulty in accurately understanding audio content, lack of systematic organization in podcast content, and the inability to easily review and recall information. By leveraging AI technology, GuruPod aims to enhance the podcast listening experience by providing quick transcription, efficient content summarization, intelligent content structuring, and seamless integration with personal knowledge repositories. It also offers features like automatic keyword extraction, highlighting key content, recommending related materials, and providing convenient review functions.

PDF2Quiz is an AI-powered tool that allows users to convert PDF documents into interactive quizzes. Users can upload a PDF, specify the number of questions, select the language, and set the difficulty level to transform the PDF into an engaging quiz. The tool utilizes Optical Character Recognition (OCR) to create quizzes from PDFs with non-selectable text, making it easy for users to assess their knowledge and share quizzes with others. With multilingual quiz conversion capabilities, PDF2Quiz caters to users from various linguistic backgrounds. The tool also offers features such as reviewing scores and answers, challenging users with automatically generated multiple-choice questions, and enabling offline use by saving quizzes and answers as PDFs.

Vecflow is an AI-powered legal tool designed to revolutionize the legal industry by providing lawyer-level work product, long-term planning capabilities, transparency in citing sources, access to internal firm knowledge, and harnessing external data sources. It offers features such as accelerating work processes, mimicking real lawyer workflows, drafting fully formed documents, and connecting to various internal systems. Vecflow aims to streamline legal work processes and enhance efficiency by leveraging AI technology.

CodeDefender α is an AI-powered tool that helps developers and non-developers improve code quality and security. It integrates with popular IDEs like Visual Studio, VS Code, and IntelliJ, providing real-time code analysis and suggestions. CodeDefender supports multiple programming languages, including C/C++, C#, Java, Python, and Rust. It can detect a wide range of code issues, including security vulnerabilities, performance bottlenecks, and correctness errors. Additionally, CodeDefender offers features like custom prompts, multiple models, and workspace/solution understanding to enhance code comprehension and knowledge sharing within teams.

Litera is a legal technology solutions provider offering a wide range of software tools to streamline contract and document creation, review, analysis, and management for law firms. The platform also focuses on enhancing firm performance, governance, and productivity through innovative legal AI solutions. With a strong emphasis on knowledge management, marketing, finance, talent management, and security, Litera aims to empower legal professionals with cutting-edge technology to amplify their impact and deliver exceptional client service.

Sereda.ai is an AI-powered platform designed to unleash a team's potential by bringing together all documents and knowledge into one place, conducting employee surveys and satisfaction ratings, facilitating performance reviews, and providing solutions to increase team productivity. The platform offers features such as a knowledge base, employee surveys, performance review tools, interactive learning courses, and an AI assistant for instant answers. Sereda.ai aims to streamline HR processes, improve employee training and evaluation, and enhance overall team productivity.

Airstrip AI is a personalized legal document creation platform powered by AI technology. It offers users the ability to easily generate compliant legal documents tailored to their specific business needs in minutes. The platform simplifies the legal process by providing end-to-end encrypted data management, automated research and analysis, and AI-driven Q&A for document revisions. Airstrip AI aims to empower businesses, especially small startups, with cost-effective and efficient legal solutions without the need for extensive legal knowledge.

arXiv.org is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.

Docs2KG is a tool designed for constructing a unified knowledge graph from heterogeneous documents. It addresses the challenges of digitizing diverse unstructured documents and constructing a high-quality knowledge graph with less effort. The tool combines bottom-up and top-down approaches, utilizing a human-LLM collaborative interface to enhance the generated knowledge graph. It organizes the knowledge graph into MetaKG, LayoutKG, and SemanticKG, providing a comprehensive view of document content. Docs2KG aims to streamline the process of knowledge graph construction and offers metrics for evaluating the quality of automatic construction.

Paper-Reading-ConvAI is a repository that contains a list of papers, datasets, and resources related to Conversational AI, mainly encompassing dialogue systems and natural language generation. This repository is constantly updating.

This repository focuses on Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). It provides code and resources to augment LLMs with real-time data for dynamic, context-aware applications. The content covers topics such as semantic search, fine-tuning embeddings, building RAG chatbots, evaluating LLMs, and using knowledge graphs in RAG. Prerequisites include Python skills, knowledge of machine learning and LLMs, and introductory experience with NLP and AI models.

This repository is a collection of papers and resources related to recommendation systems, focusing on foundation models, transferable recommender systems, large language models, and multimodal recommender systems. It explores questions such as the necessity of ID embeddings, the shift from matching to generating paradigms, and the future of multimodal recommender systems. The papers cover various aspects of recommendation systems, including pretraining, user representation, dataset benchmarks, and evaluation methods. The repository aims to provide insights and advancements in the field of recommendation systems through literature reviews, surveys, and empirical studies.

Txtai is an all-in-one embeddings database for semantic search, LLM orchestration, and language model workflows. It combines vector indexes, graph networks, and relational databases to enable vector search with SQL, topic modeling, retrieval augmented generation, and more. Txtai can stand alone or serve as a knowledge source for large language models (LLMs). Key features include vector search with SQL, object storage, topic modeling, graph analysis, multimodal indexing, embedding creation for various data types, pipelines powered by language models, workflows to connect pipelines, and support for Python, JavaScript, Java, Rust, and Go. Txtai is open-source under the Apache 2.0 license.

The Neo4j GenAI Workshop repository contains notebooks for a workshop focusing on building a Neo4j Graph, text embedding, and providing demos for content generation. The workshop includes data staging, loading, and exploration using Cypher queries. It also covers improvements in LLM response quality, GPT-4 usage, and vector search speed. The repository has undergone multiple updates to enhance course quality, simplify content, and provide better explainers and examples.

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that combines deep document understanding with Large Language Models (LLMs) to provide accurate question-answering capabilities. It offers a streamlined RAG workflow for businesses of all sizes, enabling them to extract knowledge from unstructured data in various formats, including Word documents, slides, Excel files, images, and more. RAGFlow's key features include deep document understanding, template-based chunking, grounded citations with reduced hallucinations, compatibility with heterogeneous data sources, and an automated and effortless RAG workflow. It supports multiple recall paired with fused re-ranking, configurable LLMs and embedding models, and intuitive APIs for seamless integration with business applications.

HippoRAG is a novel retrieval augmented generation (RAG) framework inspired by the neurobiology of human long-term memory that enables Large Language Models (LLMs) to continuously integrate knowledge across external documents. It provides RAG systems with capabilities that usually require a costly and high-latency iterative LLM pipeline for only a fraction of the computational cost. The tool facilitates setting up retrieval corpus, indexing, and retrieval processes for LLMs, offering flexibility in choosing different online LLM APIs or offline LLM deployments through LangChain integration. Users can run retrieval on pre-defined queries or integrate directly with the HippoRAG API. The tool also supports reproducibility of experiments and provides data, baselines, and hyperparameter tuning scripts for research purposes.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.

This repository focuses on unraveling the sources that large language models tap into for attribution or citation. It delves into the origins of facts, their utilization by the models, the efficacy of attribution methodologies, and challenges tied to ambiguous knowledge reservoirs, biases, and pitfalls of excessive attribution.

Awesome-LLM-Eval: a curated list of tools, benchmarks, demos, papers for Large Language Models (like ChatGPT, LLaMA, GLM, Baichuan, etc) Evaluation on Language capabilities, Knowledge, Reasoning, Fairness and Safety.

LYRAIOS (LLM-based Your Reliable AI Operating System) is an advanced AI assistant platform built with FastAPI and Streamlit, designed to serve as an operating system for AI applications. It offers core features such as AI process management, memory system, and I/O system. The platform includes built-in tools like Calculator, Web Search, Financial Analysis, File Management, and Research Tools. It also provides specialized assistant teams for Python and research tasks. LYRAIOS is built on a technical architecture comprising FastAPI backend, Streamlit frontend, Vector Database, PostgreSQL storage, and Docker support. It offers features like knowledge management, process control, and security & access control. The roadmap includes enhancements in core platform, AI process management, memory system, tools & integrations, security & access control, open protocol architecture, multi-agent collaboration, and cross-platform support.

Knowledge Conflicts for LLMs: A Survey is a repository containing a survey paper that investigates three types of knowledge conflicts: context-memory conflict, inter-context conflict, and intra-memory conflict within Large Language Models (LLMs). The survey reviews the causes, behaviors, and possible solutions to these conflicts, providing a comprehensive analysis of the literature in this area. The repository includes detailed information on the types of conflicts, their causes, behavior analysis, and mitigating solutions, offering insights into how conflicting knowledge affects LLMs and how to address these conflicts.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

This bot serves MCQs. Good luck on your exam!

Meet LexAid GPT: Your AI-powered legal assistant. With advanced document analysis, secure handling, and expert legal knowledge, it streamlines case review and drafting, enhancing efficiency and accuracy in your legal practice

Upon uploading a research paper, I provide a concise section wise analysis covering Abstract, Lit Review, Findings, Methodology, and Conclusion. I also critique the work, highlight its strengths, and answer any open questions from my Knowledge base of Open source materials.

Convert knowledge into flashcard format

Delivers medical knowledge in an organized format.

The KQL Query Helper GPT is tailored specifically for assisting users with Kusto Query Language (KQL) queries. It leverages extensive knowledge from Azure Data Explorer documentation to aid users in understanding, reviewing, and creating new KQL queries based on their prompts.

Reviews open data using uploaded knowledge.

Quick quiz Q's with hints for engineers trying not to forget.

Creates 10-minute MCQ tests and rapid fire questions on GCSE science topics.

Gentle guide for Kahoot quiz creation in Japanese.

Leads JavaScript learning with structured lessons and quizzes

I provide Python interview prep and conduct mock interviews.

你是一个代码解释专家，有充足的计算机科学知识

Just type a movie name and I'll give you the juicy triva

Analyses and gives actionable feedback on web Review type content using Google's Reviews System guidelines and Google's Quality Rater Guidelines

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Review your tech service agreements 24/7, find legal risk and give suggestions. (Powered by LegalNow ai.legalnow.xyz)

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