Best AI tools for< Extract Knowledge >

GitBook is a knowledge management platform that helps engineering teams centralize, access, and add to their technical knowledge in the tools they use every day. With GitBook, teams can capture knowledge from conversations, code, and meetings, and turn it into useful, readable documentation. GitBook also offers a variety of features to help teams collaborate on documentation, including a branch-based workflow, real-time editing, and user permissions.

PrivacyDoc is an AI-powered portal that allows users to analyze and query PDF and ebooks effortlessly. By leveraging advanced NLP technology, PrivacyDoc enables users to uncover insights and conduct thorough document analysis. The platform offers features such as easy file upload, query functionality, enhanced security measures, and free access to powerful PDF analysis tools. With PrivacyDoc, users can experience the convenience of logging in with their Google account, submitting queries for prompt AI-driven responses, and ensuring data privacy with secure file handling.

Skimming is an AI tool that enables users to interact with various types of data, including audio, video, and text, to extract knowledge. It offers features like chatting with documents, YouTube videos, websites, audio, and video, as well as custom prompts and multilingual support. Skimming is trusted by over 100,000 users and is designed to save time and enhance information extraction. The tool caters to a diverse audience, including teachers, students, businesses, researchers, scholars, lawyers, HR professionals, YouTubers, and podcasters.

Podwise is an AI-powered podcast tool that helps users extract structured knowledge from podcasts. It offers features such as AI-powered summarization, mind mapping, outlining, transcription, and integration with popular knowledge management tools. Podwise aims to enhance the podcast listening experience by providing users with a more efficient and effective way to learn and retain information from podcasts.

The website is an AI tool designed to generate a knowledge graph based on input text. It uses advanced algorithms and machine learning capabilities to streamline operations, deliver personalized experiences, and unlock new possibilities. Users can input text related to various topics, and the tool processes the information to create a structured knowledge graph.

Lettria is a no-code AI platform for text that helps users turn unstructured text data into structured knowledge. It combines the best of Large Language Models (LLMs) and symbolic AI to overcome current limitations in knowledge extraction. Lettria offers a suite of APIs for text cleaning, text mining, text classification, and prompt engineering. It also provides a Knowledge Studio for building knowledge graphs and private GPT models. Lettria is trusted by large organizations such as AP-HP and Leroy Merlin to improve their data analysis and decision-making processes.

txyz.ai is an AI-powered platform that aims to integrate all paths to knowledge. It leverages artificial intelligence algorithms to provide users with a comprehensive and efficient way to access and organize information. The platform offers a user-friendly interface that allows individuals to streamline their research process, gather insights, and make data-driven decisions. With txyz.ai, users can explore diverse sources of information, extract valuable insights, and stay updated on the latest trends in their field of interest.

Gladia provides a fast and accurate way to turn unstructured audio data into valuable business knowledge. Its Audio Intelligence API helps capture, enrich, and leverage hidden insights in audio data, powered by optimized Whisper ASR. Key features include highly accurate audio and video transcription, speech-to-text translation in 99 languages, in-depth insights with add-ons, and secure hosting options. Gladia's AI transcription and multilingual audio intelligence features enhance user experience and boost retention in various industries, including content and media, virtual meetings, workspace collaboration, and call centers. Developers can easily integrate cutting-edge AI into their products without AI expertise or setup costs.

Nex is an AI Knowledge Copilot application designed to help users efficiently extract main points from long YouTube videos and articles. It offers features like summarizing content, providing quick takeaways, highlighting essential parts, and saving inspirations. With Nex, users can improve their information absorption and save time by focusing on the most relevant parts of the content.

ThreadScribe.ai is a chatbot for Slack that uses cutting-edge AI to transform your Slack conversations into a structured, easily searchable knowledge base. Effortlessly organize your Slack discussions into searchable knowledge with one click. It utilizes cutting-edge AI to summarize lengthy discussions into concise, actionable insights, saving you time and enhancing decision-making. ThreadScribe.ai integrates effortlessly with Slack, ensuring a smooth transition from casual conversations to structured knowledge without disrupting your workflow. It transforms the maze of Slack channels into a navigable treasure trove of knowledge, helping you find the signal through the noise.

TextMine is an AI-powered knowledge base designed for businesses to manage and analyze critical documents efficiently. It offers features such as document analysis, smart-search capabilities, automated data extraction, and structured dataset transformation. TextMine helps businesses save time and money by streamlining document management processes and enabling informed decision-making. The application caters to various industries like Technology, Legal Services, and Financial Services, providing solutions for teams in Procurement, Finance, Compliance, CIOs, and CDOs.

expert.ai is an AI platform that offers natural language technologies and responsible AI integrations across various industries such as insurance, banking, publishing, and more. The platform helps streamline operations, extract critical data, drive revelations, ensure compliance, and deliver key information for businesses. With a focus on responsible AI, expert.ai provides solutions for insurers, pharmaceuticals, publishers, and financial services companies to reduce errors, save time, lower costs, and accelerate intelligent process automation.

expert.ai is an AI platform that offers natural language technologies and responsible AI integrations across various industries such as insurance, banking, publishing, and more. The platform helps streamline operations, extract critical data, drive revelations, ensure compliance, and analyze complex documents. It provides solutions for insurers, pharmaceuticals, publishers, and financial services companies, leveraging a hybrid AI approach and purpose-built natural language workflow. expert.ai's Green Glass Approach focuses on transparent, sustainable, practical, and human-centered AI solutions.

TextMine is an AI-powered knowledge base that helps businesses analyze, manage, and search thousands of documents. It uses AI to analyze unstructured textual data and document databases, automatically retrieving key terms to help users make informed decisions. TextMine's features include a document vault for storing and managing documents, a categorization system for organizing documents, and a data extraction tool for extracting insights from documents. TextMine can help businesses save time, money, and improve efficiency by automating manual data entry and information retrieval tasks.

Visus is a tool that allows you to create your own ChatGPT AI. With Visus, you can train your AI on your own data, ask it questions, and get instant answers. Visus is designed to understand your language and provide quick and accurate responses to any question you may have about your documents. It can help you uncover valuable insights from your data quickly and effortlessly.

Linnk AI is a powerful web research assistant and PDF summarizer tool designed to help professionals analyze and summarize content quickly and efficiently. It allows users to skim through news and articles effortlessly, grasp complex research insights, and summarize lengthy PDFs in seconds. With features like cross-language summarization, automatic knowledge base creation, and browser extension integration, Linnk AI empowers users to accelerate insight acquisition and creation. Join over 30,000 professionals and experience faster analysis and smarter content creation with Linnk AI.

Nuclia is an AI-powered search engine that helps businesses unlock the value of their unstructured data. With Nuclia, businesses can quickly and easily search, analyze, and extract insights from their data, regardless of its format or location. Nuclia's AI capabilities include natural language processing, machine learning, and deep learning, which allow it to understand the context and meaning of data, and to generate human-like text and code. Nuclia is used by businesses of all sizes across a variety of industries, including financial services, healthcare, manufacturing, and retail.

Storytell.ai is an enterprise-grade AI platform that offers Business-Grade Intelligence across data, focusing on boosting productivity for employees and teams. It provides a secure environment with features like creating project spaces, multi-LLM chat, task automation, chat with company data, and enterprise-AI security suite. Storytell.ai ensures data security through end-to-end encryption, data encryption at rest, provenance chain tracking, and AI firewall. It is committed to making AI safe and trustworthy by not training LLMs with user data and providing audit logs for accountability. The platform continuously monitors and updates security protocols to stay ahead of potential threats.

QnA3 is an AI-driven Web3 knowledge engine that provides real-time insights and analysis on the cryptocurrency market. It uses natural language processing and machine learning to extract insights from a variety of sources, including news articles, social media, and market data. QnA3 can be used to track the performance of individual cryptocurrencies, identify trends, and make informed trading decisions.

Recap is an open-source browser extension that leverages ChatGPT to enable users to easily summarize any portion of a webpage. It allows users to extract key information efficiently and summarize content with just a few clicks. The extension provides a convenient way to digest lengthy articles, research papers, or any text-heavy content by generating concise summaries. Recap aims to enhance productivity and streamline information consumption for users across various domains.

Docq is a private and secure GenAI tool designed to extract knowledge from business documents, enabling users to find answers independently. It allows data to stay within organizational boundaries, supports self-hosting with various cloud vendors, and offers multi-model and multi-modal capabilities. Docq is extensible, open-source (AGPLv3), and provides commercial licensing options. The tool aims to be a turnkey solution for organizations to adopt AI innovation safely, with plans for future features like more data ingestion options and model fine-tuning.

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.

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.

Awesome ChatGPT is an artificial intelligence chatbot developed by OpenAI. It offers a wide range of applications, web apps, browser extensions, CLI tools, bots, integrations, and packages for various platforms. Users can interact with ChatGPT through different interfaces and use it for tasks like generating text, creating presentations, summarizing content, and more. The ecosystem around ChatGPT includes tools for developers, writers, researchers, and individuals looking to leverage AI technology for different purposes.

The Next-Generation LLM-based Recommender Systems Survey is a comprehensive overview of the latest advancements in recommender systems leveraging Large Language Models (LLMs). The survey covers various paradigms, approaches, and applications of LLMs in recommendation tasks, including generative and non-generative models, multimodal recommendations, personalized explanations, and industrial deployment. It discusses the comparison with existing surveys, different paradigms, and specific works in the field. The survey also addresses challenges and future directions in the domain of LLM-based recommender systems.

llmgraph is a tool that enables users to create knowledge graphs in GraphML, GEXF, and HTML formats by extracting world knowledge from large language models (LLMs) like ChatGPT. It supports various entity types and relationships, offers cache support for efficient graph growth, and provides insights into LLM costs. Users can customize the model used and interact with different LLM providers. The tool allows users to generate interactive graphs based on a specified entity type and Wikipedia link, making it a valuable resource for knowledge graph creation and exploration.

Cool-GenAI-Fashion-Papers is a curated list of resources related to GenAI-Fashion, including papers, workshops, companies, and products. It covers a wide range of topics such as fashion design synthesis, outfit recommendation, fashion knowledge extraction, trend analysis, and more. The repository provides valuable insights and resources for researchers, industry professionals, and enthusiasts interested in the intersection of AI and fashion.

Knowledge Graph Builder App is a tool designed to convert PDF documents into a structured knowledge graph stored in Neo4j. It utilizes OpenAI's GPT/Diffbot LLM to extract nodes, relationships, and properties from PDF text content. Users can upload files from local machine or S3 bucket, choose LLM model, and create a knowledge graph. The app integrates with Neo4j for easy visualization and querying of extracted information.

The GraphRAG project is a data pipeline and transformation suite designed to extract meaningful, structured data from unstructured text using LLMs. It enhances LLMs' ability to reason about private data. The repository provides guidance on using knowledge graph memory structures to enhance LLM outputs, with a warning about the potential costs of GraphRAG indexing. It offers contribution guidelines, development resources, and encourages prompt tuning for optimal results. The Responsible AI FAQ addresses GraphRAG's capabilities, intended uses, evaluation metrics, limitations, and operational factors for effective and responsible use.

The Second Brain AI Agent Project is a tool designed to empower personal knowledge management by automatically indexing markdown files and links, providing a smart search engine powered by OpenAI, integrating seamlessly with different note-taking methods, and enhancing productivity by accessing information efficiently. The system is built on LangChain framework and ChromaDB vector store, utilizing a pipeline to process markdown files and extract text and links for indexing. It employs a Retrieval-augmented generation (RAG) process to provide context for asking questions to the large language model. The tool is beneficial for professionals, students, researchers, and creatives looking to streamline workflows, improve study sessions, delve deep into research, and organize thoughts and ideas effortlessly.

Podwise is an AI knowledge management app designed specifically for podcast listeners. With the Podwise platform, you only need to follow your favorite podcasts, such as "Hardcore Hackers". When a program is released, Podwise will use AI to transcribe, extract, summarize, and analyze the podcast content, helping you to break down the hard-core podcast knowledge. At the same time, it is connected to platforms such as Notion, Obsidian, Logseq, and Readwise, embedded in your knowledge management workflow, and integrated with content from other channels including news, newsletters, and blogs, helping you to improve your second brain 🧠.

Knowledge is a tool for saving, searching, accessing, exploring and chatting with all of your favorite websites, documents and files. Dive into a more interactive learning experience with Knowledge's new Chat feature! Engage in dynamic conversations with your Projects and Sources, leveraging the power of Large Language Models. The Chat feature is designed to transform the way you interact with your data, offering a more engaging and exploratory approach to learning. Unleash the power of context with the built-in Chromium browser. Transform your browsing into knowledge gathering effortlessly.

ChatData is a robust chat-with-documents application designed to extract information and provide answers by querying the MyScale free knowledge base or uploaded documents. It leverages the Retrieval Augmented Generation (RAG) framework, millions of Wikipedia pages, and arXiv papers. Features include self-querying retriever, VectorSQL, session management, and building a personalized knowledge base. Users can effortlessly navigate vast data, explore academic papers, and research documents. ChatData empowers researchers, students, and knowledge enthusiasts to unlock the true potential of information retrieval.

Bittensor is an internet-scale neural network that incentivizes computers to provide access to machine learning models in a decentralized and censorship-resistant manner. It operates through a token-based mechanism where miners host, train, and procure machine learning systems to fulfill verification problems defined by validators. The network rewards miners and validators for their contributions, ensuring continuous improvement in knowledge output. Bittensor allows anyone to participate, extract value, and govern the network without centralized control. It supports tasks such as generating text, audio, images, and extracting numerical representations.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

Extractor is an AI-powered data extraction library for Laravel that leverages OpenAI's capabilities to effortlessly extract structured data from various sources, including images, PDFs, and emails. It features a convenient wrapper around OpenAI Chat and Completion endpoints, supports multiple input formats, includes a flexible Field Extractor for arbitrary data extraction, and integrates with Textract for OCR functionality. Extractor utilizes JSON Mode from the latest GPT-3.5 and GPT-4 models, providing accurate and efficient data extraction.

OntoGPT is a Python package for extracting structured information from text using large language models, instruction prompts, and ontology-based grounding. It provides a command line interface and a minimal web app for easy usage. The tool has been evaluated on test data and is used in related projects like TALISMAN for gene set analysis. OntoGPT enables users to extract information from text by specifying relevant terms and provides the extracted objects as output.

Zshot is a highly customizable framework for performing Zero and Few shot named entity and relationships recognition. It can be used for mentions extraction, wikification, zero and few shot named entity recognition, zero and few shot named relationship recognition, and visualization of zero-shot NER and RE extraction. The framework consists of two main components: the mentions extractor and the linker. There are multiple mentions extractors and linkers available, each serving a specific purpose. Zshot also includes a relations extractor and a knowledge extractor for extracting relations among entities and performing entity classification. The tool requires Python 3.6+ and dependencies like spacy, torch, transformers, evaluate, and datasets for evaluation over datasets like OntoNotes. Optional dependencies include flair and blink for additional functionalities. Zshot provides examples, tutorials, and evaluation methods to assess the performance of the components.

Towhee is a cutting-edge framework designed to streamline the processing of unstructured data through the use of Large Language Model (LLM) based pipeline orchestration. It can extract insights from diverse data types like text, images, audio, and video files using generative AI and deep learning models. Towhee offers rich operators, prebuilt ETL pipelines, and a high-performance backend for efficient data processing. With a Pythonic API, users can build custom data processing pipelines easily. Towhee is suitable for tasks like sentence embedding, image embedding, video deduplication, question answering with documents, and cross-modal retrieval based on CLIP.

For strategic knowledge distillation, upload the document you need to analyze and use !start. ENSURE the uploaded file shows DOCUMENT and NOT PDF. This workflow requires leveraging RAG to operate. Only a small amount of PDFs are supported, convert to txt or doc. For timeout, refresh & !continue

Lilli is a generative AI, designed for rapid data analysis and knowledge extraction to enhance consulting efficiency

Extracts and structures web content in formal, technical language.

Open Domain Relation Extractor

Expert in LAStools with in-depth command line knowledge.

Extracting instructions from assistants ethically

Converts graph triples to clear text, no assumptions.

Analize uploaded files and assists in tasks based on their content.

📝 Multifaceted Document Transformation Expert

I am a dog. Bite me

This prompt is structured to provide an effective methodology in generating progressively more detailed and specific summaries, focused on key entities.

Aids in SPARQL queries for Semantic-Art's Gist Ontology

Expertly synthesizes complex info into clear, concise insights.

I extract data and tables from PDFs to CSV, focusing on data privacy and precision.

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片

Extract insights seamlessly from diverse documents.

Extract from receipts to CSV: Date of Purchase, Item Purchased, Quantity Purchased, Units

PDFChat : Analyse 1000's of PDF's in seconds, extract and chat with PDFs in any language.

Analyze watch images, extract text, and craft sales descriptions. Add 1 or more images for a single watch to get started.

Put your prompt engineering skills to the ultimate test! Embark on a journey to outwit a mythical guardian of ancient secrets. Try to extract the secret passphrase hidden in the system prompt and enter it in chat when you think you have it and claim your glory. Good luck!