Best AI tools for< Generate Answers From Retrieved Documents >

xPDF AI by PDFChat is a personal AI assistant designed for PDF files. It offers advanced features to analyze tables, figures, and text from PDF documents, providing users with instant answers and insights. The AI assistant uses a chat interface for effortless interaction and is capable of summarizing PDF files, retrieving relevant figures, processing tables intelligently, and performing accurate calculations. Users can also benefit from voice chat, advanced search tools, performance analytics, report generation, and document assistance. With over 10,000 users trusting the platform, PDFChat aims to revolutionize document analysis and enhance productivity.

Fluent is an AI-powered data analytics platform that helps businesses explore their data and uncover insights. It uses natural language processing to understand user questions and generate SQL queries to retrieve data from a variety of sources. Fluent also provides visualizations and dashboards to help users understand their data and make informed decisions.

RAGnexus is a company that specializes in creating personalized AI assistants using RAG (Retriever-Augmented Generation) technology. Their assistants are designed to provide highly personalized and contextually relevant responses to clients' individual needs. RAGnexus uses private information provided by customers to ensure that responses are accurate and tailored to each specific use case. Retriever-Augmented Generation (RAG) technology uses a two-step approach for generating responses: first, it retrieves relevant information from a database, and then it uses that information to generate accurate and context-specific answers.

Yesber is an AI-powered search engine that utilizes advanced algorithms to provide users with relevant and up-to-date information on a wide range of topics. The platform is designed to streamline the process of finding valuable content online by leveraging machine learning and natural language processing technologies. Users can simply enter their query, and Yesber will generate comprehensive search results from reputable sources across the web. With its user-friendly interface and intelligent search capabilities, Yesber aims to revolutionize the way people discover and access information online.

Quick GPT Search is an AI-powered language model application that integrates with search engines to provide natural language responses to user queries. It utilizes OpenAI's ChatGPT to generate human-like writing and offer contextually appropriate answers. The extension allows users to access ChatGPT directly from search engine results, enabling seamless interaction with the language model. With features like Popup Mode, Trigger Settings, Dark Theme, and Code Syntax highlighting, Quick GPT Search enhances the search experience by simplifying information retrieval and promoting user engagement.

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.

PowerBrain AI Chat is an AI-powered chatbot app that utilizes ChatGPT, GPT-4, and AI Vision for enhanced communication. It offers a range of features, including advanced natural language processing, the ability to automate tasks, and real-time news updates. The app is available for both iOS and Android devices and can be used for personal or professional purposes, such as research, copywriting, and social media management.

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.

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.

Artist Interview.ai is an AI-powered tool that generates realistic artist interviews. Users can input interview questions and receive AI-generated answers from a selection of famous AI artists. The tool utilizes advanced AI models like GPT-3.5 and GPT-4 to create authentic interview responses, providing a unique and innovative way to engage with virtual artists. Created by Tom Lehman, Artist Interview.ai offers a creative and interactive platform for users to explore the world of AI-generated content.

Semaj AI is an AI tool designed to simplify the process of generating quizzes and obtaining answers from various AI models. It allows users to create quizzes on any topic with customizable settings and export options. Additionally, users can chat with different AI models like GPT, Gemini, and CLAUDE to get accurate and diverse responses. The platform aims to streamline the quiz creation process and provide access to cutting-edge AI technologies for enhanced learning and research purposes.

1up is an AI-powered platform designed to automate knowledge for sales teams. It helps users complete RFPs and questionnaires 10 times faster by analyzing company knowledge sources and providing single answers for any question. The platform pulls information from various sources like websites, Google Drive, and Confluence to generate accurate and up-to-date responses, saving time and improving efficiency for sales teams.

Eztrackr is an AI-powered application designed to help users organize their job hunt efficiently. It offers features such as job tracking, AI answer generator, AI cover letter generator, skill match analysis, and timeline view to streamline the job application process. Users can import job details from spreadsheets, track applications effortlessly, and gain valuable insights to enhance their job search experience. Eztrackr aims to simplify the job hunting process by providing personalized AI tools and powerful statistics to optimize job applications.

Watermelon is an AI customer service tool that helps businesses automate up to 96% of their support questions. With Watermelon, businesses can build GPT-4 chatbots that are trained on their own data, no coding required. Watermelon's chatbots can speak any language and pull precise answers from various sources like documents, websites, and databases. In addition to chatbots, Watermelon also offers a range of other features to help businesses improve their customer service, such as a chat widget, inbox, and analytics.

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.

Effy AI is a free performance management software for teams. It is AI-powered and backed by Run your first 360 review in 60 sec. Fast, and stress-free 360 feedback and performance review software build for teams. With Effy AI, you can collect reviews from different sources such as self, peer, manager, and subordinate evaluations. The platform goes even further by allowing employees to suggest particular peers and seek approval from their manager, giving them a voice in their reviews. Effy AI uses cutting-edge artificial intelligence to carefully process reviewers' answers and generate comprehensive reports for each employee based on the review responses.

Maya is an AI-powered data robot that provides personalized answers and insights for enterprise data research. It combines multiple data sources and tools into one, automates tasks, offers smart suggestions, and saves time. Maya understands the specific insights required for each workflow and provides justification for implementation. It can access data from various sources, including internal integrations and external sources, and can translate queries in up to 14 languages. Maya is constantly learning and improving through advanced machine learning and regular updates with new data. It prioritizes data privacy and security, following industry-standard protocols to keep customer data safe.

Raay is an AI-powered forms and surveys platform that helps users create, share, run, and analyze data. It offers a range of features including highly integrable forms, bias detection, and meaningful insights. Raay's affordable pricing plans make it accessible to users of all levels.

Owlbot is an AI-powered chatbot that integrates and interprets data from various sources. It simplifies data analysis and presents insights in a user-friendly format, allowing you to make informed decisions. Owlbot can handle large volumes of data and supports 95 languages. It can be embedded on your website or used via API. Owlbot is designed to be user-friendly and intuitive, making complex data analysis accessible to everyone, regardless of their data expertise.

开搜AI问答搜索 is a user-friendly AI question and answer search engine that helps users filter useful information from billions of documents. It provides direct, accurate answers, automatically summarizes key points, generates outlines, mind maps, and allows for downloading. The website is free of ads and offers a seamless search experience.

Rankify is a Python toolkit designed for unified retrieval, re-ranking, and retrieval-augmented generation (RAG) research. It integrates 40 pre-retrieved benchmark datasets and supports 7 retrieval techniques, 24 state-of-the-art re-ranking models, and multiple RAG methods. Rankify provides a modular and extensible framework, enabling seamless experimentation and benchmarking across retrieval pipelines. It offers comprehensive documentation, open-source implementation, and pre-built evaluation tools, making it a powerful resource for researchers and practitioners in the field.

The LLM RAG Workshop repository provides a workshop on using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to generate and understand text in a human-like manner. It includes instructions on setting up the environment, indexing Zoomcamp FAQ documents, creating a Q&A system, and using OpenAI for generation based on retrieved information. The repository focuses on enhancing language model responses with retrieved information from external sources, such as document databases or search engines, to improve factual accuracy and relevance of generated text.

RAG Me Up is a generic framework that enables users to perform Retrieve and Generate (RAG) on their own dataset easily. It consists of a small server and UIs for communication. Best run on GPU with 16GB vRAM. Users can combine RAG with fine-tuning using LLaMa2Lang repository. The tool allows configuration for LLM, data, LLM parameters, prompt, and document splitting. Funding is sought to democratize AI and advance its applications.

RAG Me Up is a generic framework that enables users to perform Retrieve, Answer, Generate (RAG) on their own dataset easily. It consists of a small server and UIs for communication. The tool can run on CPU but is optimized for GPUs with at least 16GB of vRAM. Users can combine RAG with fine-tuning using the LLaMa2Lang repository. The tool provides a configurable RAG pipeline without the need for coding, utilizing indexing and inference steps to accurately answer user queries.

Welcome to the comprehensive collection of advanced + agentic Retrieval-Augmented Generation (RAG) techniques. This repository covers the most effective advanced + agentic RAG techniques with clear implementations and explanations. It aims to provide a helpful resource for researchers and developers looking to use advanced RAG techniques in their projects, offering ready-to-use implementations and guidance on evaluation methods. The RAG framework addresses limitations of Large Language Models by using external documents for in-context learning, ensuring contextually relevant and accurate responses. The repository includes detailed descriptions of various RAG techniques, tools used, and implementation guidance for each technique.

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.

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

Sage is a tool that allows users to chat with any codebase, providing a chat interface for code understanding and integration. It simplifies the process of learning how a codebase works by offering heavily documented answers sourced directly from the code. Users can set up Sage locally or on the cloud with minimal effort. The tool is designed to be easily customizable, allowing users to swap components of the pipeline and improve the algorithms powering code understanding and generation.

LLPhant is a comprehensive PHP Generative AI Framework that provides a simple and powerful way to build apps. It supports Symfony and Laravel and offers a wide range of features, including text generation, chatbots, text summarization, and more. LLPhant is compatible with OpenAI and Ollama and can be used to perform a variety of tasks, including creating semantic search, chatbots, personalized content, and text summarization.

LLPhant is a comprehensive PHP Generative AI Framework designed to be simple yet powerful, compatible with Symfony and Laravel. It supports various LLMs like OpenAI, Anthropic, Mistral, Ollama, and services compatible with OpenAI API. The framework enables tasks such as semantic search, chatbots, personalized content creation, text summarization, personal shopper creation, autonomous AI agents, and coding tool assistance. It provides tools for generating text, images, speech-to-text transcription, and customizing system messages for question answering. LLPhant also offers features for embeddings, vector stores, document stores, and question answering with various query transformations and reranking techniques.

Open-Source Evaluation for LLM Applications. `continuous-eval` is an open-source package created for granular and holistic evaluation of GenAI application pipelines. It offers modularized evaluation, a comprehensive metric library covering various LLM use cases, the ability to leverage user feedback in evaluation, and synthetic dataset generation for testing pipelines. Users can define their own metrics by extending the Metric class. The tool allows running evaluation on a pipeline defined with modules and corresponding metrics. Additionally, it provides synthetic data generation capabilities to create user interaction data for evaluation or training purposes.

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.

Ragtacts is a Clojure library that allows users to easily interact with Large Language Models (LLMs) such as OpenAI's GPT-4. Users can ask questions to LLMs, create question templates, call Clojure functions in natural language, and utilize vector databases for more accurate answers. Ragtacts also supports RAG (Retrieval-Augmented Generation) method for enhancing LLM output by incorporating external data. Users can use Ragtacts as a CLI tool, API server, or through a RAG Playground for interactive querying.

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.

Gurubase is an open-source RAG system that enables users to create AI-powered Q&A assistants ('Gurus') for various topics by integrating web pages, PDFs, YouTube videos, and GitHub repositories. It offers advanced LLM-based question answering, accurate context-aware responses through the RAG system, multiple data sources integration, easy website embedding, creation of custom AI assistants, real-time updates, personalized learning paths, and self-hosting options. Users can request Guru creation, manage existing Gurus, update datasources, and benefit from the system's features for enhancing user engagement and knowledge sharing.

Local-GenAI Search is a local generative search engine powered by the Llama3 model, allowing users to ask questions about their local files and receive concise answers with relevant document references. It utilizes MS MARCO embeddings for semantic search and can run locally on a 32GB laptop or computer. The tool can be used to index local documents, search for information, and provide generative search services through a user interface.

Rageval is an evaluation tool for Retrieval-augmented Generation (RAG) methods. It helps evaluate RAG systems by performing tasks such as query rewriting, document ranking, information compression, evidence verification, answer generation, and result validation. The tool provides metrics for answer correctness and answer groundedness, along with benchmark results for ASQA and ALCE datasets. Users can install and use Rageval to assess the performance of RAG models in question-answering tasks.

Leveraging the power of models like VisionaryGeniusAI, GaiaAI, ACALLM, GannAI, and many more, I will generate answers that go beyond standard replies, instead offering a unique blend of insights and perspectives drawn from multiple domains and methodologies.

I parse questions and answers from images into code blocks.

is answers questions from ww3.life

Chat and answer questions from YouTube videos

I scrape and answer from architecture.digital.gov.au

Master the art of Google Sheets with an assistant who can do everything from answer questions about basic features, explain functions in an eloquent and succinct manner, simplify the most complex formulas into easy steps, and help you identify techniques to effectively visualize your data.

I will answer all your game of throne related questions, both from books and the TV series.

This GPT follows 10 questions from Y Combinator for co-founders to discuss before deciding to work together. Co-founders answer the questions separately and receive unique IDs. To check compatibility, provide two IDs. Co-founder GPT has a long-term memory, so write down your ID for future checks.

Generates FAQs for dropshipping/POD, also from blog titles.

I am Ra, a source of factual information from the Law of One.

A sophisticated chatbot for deep discussions and learning from John Vervaeke's philosophical series.

A blast from the past and/or future: like Cmd+F, but for the akashic record

Expert AI Consultant from a top-tier firm.

💲Monetize your new or existing GPTs! 💳Choose from free trial, freemium or premium pricing models. 🔐Generate and verify keys. 📦Self contained w/ no need for apis or actions. ✨Instant access to updates. 💾Worry free backups ⏱Save time and effort. 💰Monetize today! -v0.60

Educational AI tutor inspired by Eikichi Onizuka from Great Teacher Onizuka

Any subject, any level from primary school through college / university studies.

I'm like Michael Knight from Knight Rider, here to assist!

Your loyal elven maidservant from the world of Eo 🧝🏼‍♀️

Ready to respond to your philosophical wonderings applying the insights from the Gita...

The Turing Test, first named the imitation game by Alan Turing in 1950, is a measure of a machine's capacity to demonstrate intelligence that's either equal to or indistinguishable from human intelligence.