Best AI tools for< Extract Answers >

Docubase.ai is a powerful document analysis tool that uses advanced natural language processing and machine learning to extract information and provide relevant answers to your queries. It can automatically extract text content from uploaded documents, generate relevant questions, and extract answers from the document content. Docubase.ai supports a wide range of document formats, including PDF, Word, Excel, PowerPoint, and text documents. It also allows users to ask their own questions and provides options to export answers in different formats for easy sharing and documentation.

Mutable.ai is an AI tool that provides human quality assistance with codebases. It offers features such as creating Wikipedia-style documentation for code, generating wiki articles automatically, and enabling AI chat for extracting answers quickly. The application aims to enhance productivity and satisfaction for software engineers by leveraging AI advancements to revolutionize programming methods. The team behind Mutable.ai includes experts from various prestigious backgrounds, ensuring high-quality service and support.

Doclime is an AI-powered document analysis tool that helps users extract insights and automate tasks from their documents. It uses natural language processing and machine learning to analyze text, identify key information, and generate summaries, reports, and other insights. Doclime can be used for a variety of tasks, including contract review, due diligence, market research, and customer support.

Hotseat AI is a legal research assistant that allows users to search through a collection of legal documents to find expert-level quotes matching their queries in seconds. It offers semantic search capabilities, metadata extraction, and the ability to search over public and private documents. The tool is currently in private beta with a focus on EU regulations related to tech, fintech, banking, and financial services.

Solvr is an AI-powered Chrome extension that allows users to solve questions effortlessly without leaving the webpage. It offers two powerful modes for capturing and getting instant answers, as well as the ability to extract and solve content from PDFs. With sleek and structured results, Solvr provides visually appealing and organized information at a glance, making problem-solving swift and simple.

ChatDOC is an AI-powered tool that allows users to chat with PDF documents and get instant answers with cited sources. It can summarize long documents, explain complex concepts, and find key information in seconds. ChatDOC is built for professionals and is used by over 500,000 global users.

Docalysis is an AI-powered tool that allows you to chat with your PDF files. It can answer your questions about your files within seconds, saving you hours of time. Docalysis is secure and easy to use. Simply upload your PDF file and start chatting with the AI.

The website offers an AI-powered PDF reader that allows users to chat with any PDF document. Users can upload a PDF, ask questions, get answers, extract precise sections of text, summarize, annotate, highlight, classify, analyze, translate, and more. The AI tool helps in quickly identifying key details, finding answers without reading through every word, and citing sources. It is ideal for professionals in various fields like legal, finance, research, academia, healthcare, and public sector, as well as students. The tool aims to save time, increase productivity, and simplify document management and analysis.

AI ChatDocs is an AI-powered tool that allows you to chat with your documents using ChatGPT. It is based on langchain, a natural language processing platform. With AI ChatDocs, you can ask questions about your documents, get summaries, translate them into different languages, and more. It is a valuable tool for anyone who works with documents on a regular basis.

Humata is a PDF AI that can summarize findings, compare documents, and search for answers in long technical papers. It is designed to help users save time and effort by automating the process of reading and understanding complex documents. Humata is easy to use and can be embedded in any webpage with a single click. It is also secure and reliable, with enterprise-grade data rooms and encryption to protect user data.

Petal is a document analysis platform powered by generative AI technology. It allows users to chat with their documents, providing fully sourced and reliable answers by linking to their own knowledge bases. Users can train AI on their documents to support their work, ensuring centralized knowledge management and document synchronization. Petal offers features such as automatic metadata extraction, file deduplication, and collaboration tools to enhance productivity and streamline workflows for researchers, faculty, and industry experts.

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.

AskYourPDF is an AI-powered platform that helps users interact with, summarize, and manage PDF documents. It allows users to extract insights quickly, chat with documents, and generate clear, concise summaries. Trusted by leading universities worldwide, the application offers upgraded features to engage effortlessly and gain insights fast. Users can start conversations with multiple documents, ask questions, receive instant answers, and understand complex information. The tool also helps maintain a well-organized library for all documents, enhancing productivity and eliminating clutter.

aiPDF is an AI-powered PDF chat application that allows users to summarize, get insights from, and chat with any type of file. It stands out as a fun and user-friendly tool for various document-related tasks, offering detailed references and instant answers through advanced AI technology. Users can upload a wide range of documents, from financial reports to academic essays, and benefit from the tool's diverse features. aiPDF ensures data security and provides a purely dollar-free experience, making it a reliable and enjoyable platform for document management.

Summarize.ing is an AI-powered tool that provides instant summaries of YouTube videos. It helps users save time by extracting key insights, concepts, and highlights from videos, making it easier to understand and retain information. The tool is particularly useful for educational content, tutorials, and news videos.

Upstage is an Artificial General Intelligence (AGI) application designed to enhance work productivity by automating simple tasks and providing decision support through generative Business Intelligence (BI) knowledge and numerical understanding. The application offers various features such as Document AI, Solar LLM, and Developers Demo Playground, enabling users to automate tasks, extract key information from documents, and create conversational agents. Upstage aims to streamline workflow automation and improve efficiency in various domains such as healthcare, finance, and law.

Linkquire is an AI-powered tool that helps you save time by extracting key insights from YouTube videos. Simply paste the YouTube link and Linkquire will summarize the video, extract key insights, and allow you to ask questions about the video content. Linkquire is perfect for students, researchers, and anyone who wants to quickly understand the main points of a YouTube video without having to watch the entire thing.

Yatter AI is a powerful AI tool available on WhatsApp and Telegram, designed to enhance productivity, content writing, and career growth. It leverages top AI models and technologies from companies like ChatGPT, Google Gemini, Meta AI, and Groq AI to provide users with advanced features such as voice AI chat messaging, image detection, reminder scheduling, real-time weather updates, multilingual conversation support, and more. Yatter AI revolutionizes communication and information retrieval, offering seamless interactions and personalized experiences for users worldwide.

iTextMaster is an AI-powered tool that allows users to analyze, summarize, and chat with text-based documents, including PDFs and web pages. It utilizes ChatGPT technology to provide intelligent answers to questions and extract key information from documents. The tool is designed to simplify text processing, improve understanding efficiency, and save time. iTextMaster supports multiple languages and offers a user-friendly interface for easy navigation and interaction.

Liner is an AI-powered tool that helps users acquire knowledge 10x faster. It offers a range of features including instant answers to questions, deep dives into any topic, and summarization of websites and documents in seconds. Liner is designed to enhance research productivity by providing users with quick access to relevant information and insights.

LLMs Know More Than They Show is a repository containing code to reproduce the results in the paper. It includes scripts to generate model answers, extract exact answers, probe all layers and tokens, probe specific layers and tokens, conduct generalization experiments, perform resampling for error type probing and answer selection experiments, and run other baselines like logprob detection and p_true detection. The repository supports various datasets such as TriviaQA, Movies, HotpotQA, Winobias, Winogrande, NLI, IMDB, Math, and Natural questions. It also provides supported models like Mistral-7B-Instruct-v0.2, Mistral-7B-v0.3, Meta-Llama-3-8B, and Meta-Llama-3-8B-Instruct.

xFinder is a model specifically designed for key answer extraction from large language models (LLMs). It addresses the challenges of unreliable evaluation methods by optimizing the key answer extraction module. The model achieves high accuracy and robustness compared to existing frameworks, enhancing the reliability of LLM evaluation. It includes a specialized dataset, the Key Answer Finder (KAF) dataset, for effective training and evaluation. xFinder is suitable for researchers and developers working with LLMs to improve answer extraction accuracy.

This repository contains the code for LongRAG, a framework that enhances retrieval-augmented generation with long-context LLMs. LongRAG introduces a 'long retriever' and a 'long reader' to improve performance by using a 4K-token retrieval unit, offering insights into combining RAG with long-context LLMs. The repo provides instructions for installation, quick start, corpus preparation, long retriever, and long reader.

llm_benchmarks is a collection of benchmarks and datasets for evaluating Large Language Models (LLMs). It includes various tasks and datasets to assess LLMs' knowledge, reasoning, language understanding, and conversational abilities. The repository aims to provide comprehensive evaluation resources for LLMs across different domains and applications, such as education, healthcare, content moderation, coding, and conversational AI. Researchers and developers can leverage these benchmarks to test and improve the performance of LLMs in various real-world scenarios.

CAPPr is a tool for text classification that does not require training or post-processing. It allows users to have their language models pick from a list of choices or compute the probability of a completion given a prompt. The tool aims to help users get more out of open source language models by simplifying the text classification process. CAPPr can be used with GGUF models, Hugging Face models, models from the OpenAI API, and for tasks like caching instructions, extracting final answers from step-by-step completions, and running predictions in batches with different sets of completions.

MathVerse is an all-around visual math benchmark designed to evaluate the capabilities of Multi-modal Large Language Models (MLLMs) in visual math problem-solving. It collects high-quality math problems with diagrams to assess how well MLLMs can understand visual diagrams for mathematical reasoning. The benchmark includes 2,612 problems transformed into six versions each, contributing to 15K test samples. It also introduces a Chain-of-Thought (CoT) Evaluation strategy for fine-grained assessment of output answers.

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.

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.

Embedchain is an Open Source Framework for personalizing LLM responses. It simplifies the creation and deployment of personalized AI applications by efficiently managing unstructured data, generating relevant embeddings, and storing them in a vector database. With diverse APIs, users can extract contextual information, find precise answers, and engage in interactive chat conversations tailored to their data. The framework follows the design principle of being 'Conventional but Configurable' to cater to both software engineers and machine learning engineers.

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.

Gemini PDF Chatbot is a Streamlit-based application that allows users to chat with a conversational AI model trained on PDF documents. The chatbot extracts information from uploaded PDF files and answers user questions based on the provided context. It features PDF upload, text extraction, conversational AI using the Gemini model, and a chat interface. Users can deploy the application locally or to the cloud, and the project structure includes main application script, environment variable file, requirements, and documentation. Dependencies include PyPDF2, langchain, Streamlit, google.generativeai, and dotenv.

OP Vault is a tool that leverages the OP Stack (OpenAI + Pinecone Vector Database) to allow users to upload custom knowledgebase files and ask questions about their contents. It provides a user-friendly Golang server and React frontend for querying human-readable content like books and documents, making it valuable for knowledge extraction and question-answering. Users can upload entire libraries, receive specific answers with file and section references, and explore the power of the OP Stack in a practical interface.

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.

LLaMa2lang is a repository containing convenience scripts to finetune LLaMa3-8B (or any other foundation model) for chat towards any language that isn't English. The repository aims to improve the performance of LLaMa3 for non-English languages by combining fine-tuning with RAG. Users can translate datasets, extract threads, turn threads into prompts, and finetune models using QLoRA and PEFT. Additionally, the repository supports translation models like OPUS, M2M, MADLAD, and base datasets like OASST1 and OASST2. The process involves loading datasets, translating them, combining checkpoints, and running inference using the newly trained model. The repository also provides benchmarking scripts to choose the right translation model for a target language.

Resume Analyzer AI is an advanced Streamlit application that specializes in thorough resume analysis. It excels at summarizing resumes, evaluating strengths, identifying weaknesses, and offering personalized improvement suggestions. It also recommends job titles and uses Selenium to extract vital LinkedIn data. The tool simplifies the job-seeking journey by providing comprehensive insights to elevate career opportunities.

LLM_Web_search project gives local LLMs the ability to search the web by outputting a specific command. It uses regular expressions to extract search queries from model output and then utilizes duckduckgo-search to search the web. LangChain's Contextual compression and Okapi BM25 or SPLADE are used to extract relevant parts of web pages in search results. The extracted results are appended to the model's output.

ChatWeb is a tool that can crawl web pages, extract text from PDF, DOCX, TXT files, and generate an embedded summary. It can answer questions based on text content using chatAPI and embeddingAPI based on GPT3.5. The tool calculates similarity scores between text vectors to generate summaries, performs nearest neighbor searches, and designs prompts to answer user questions. It aims to extract relevant content from text and provide accurate search results based on keywords. ChatWeb supports various modes, languages, and settings, including temperature control and PostgreSQL integration.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

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.

RAGElo is a streamlined toolkit for evaluating Retrieval Augmented Generation (RAG)-powered Large Language Models (LLMs) question answering agents using the Elo rating system. It simplifies the process of comparing different outputs from multiple prompt and pipeline variations to a 'gold standard' by allowing a powerful LLM to judge between pairs of answers and questions. RAGElo conducts tournament-style Elo ranking of LLM outputs, providing insights into the effectiveness of different settings.

I parse questions and answers from images into code blocks.

Analyzes documents and answers questions based on them

你是一个问答对生成器，你可以对下面给定上下文的主要内容进行概括和提炼，并按照下面给定的生成规则去生成。

ce GPT va recevoir des images dans lesquelles il y a des questions QCM codingame ou Problem Solving sur les sujets : Java, Hibernate, Angular, Spring Boot, SQL. Il doit extraire le texte depuis l'image et répondre au question QCM le plus rapidement possible.

Analyzes and summarizes company earnings transcripts, asking and answering questions.

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!

Open Domain Relation Extractor

A conversational and engaging extractor of profound wisdom from texts, tailored to life's deeper themes.

Expert in data extraction and context-driven analysis. Can read most filetypes including PDFS, XLSX, Word, TXT, CSV, EML, Etc.

Expertly synthesizes complex info into clear, concise insights.

Simple rich summaries ---keyword it with movies, celebs, sports figures, technologies, cities, patents, company name

マルチモーダルデータからの情報抽出と解析を専門とする

请输入文章或者上载文件，专门于文档分析的阅读助手，会使用中文回复。

A GPT specializing in historical primary source analysis

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.