Best AI tools for< Organize Sources >

Tavily is an AI-powered research assistant that helps users gather information from multiple online sources and organize it into comprehensive research reports. It uses advanced algorithms and models to ensure the accuracy of the information provided and can be integrated with any LLM. Tavily is suitable for both individuals and enterprises who need to conduct research to make unbiased and informed decisions.

Sourcely is an AI-powered academic search assistant designed to help students and researchers find, summarize, and add credible academic sources efficiently. With access to over 200 million research papers and advanced search filters, Sourcely streamlines the research process by simplifying source discovery, providing targeted citations, offering free PDF downloads, organizing citations in a personal library, generating credible summaries, and exporting references in various formats. The tool aims to save time, enhance the quality of work, and improve academic productivity.

Emdash is an AI-powered tool designed to help users organize their book highlights effectively. By utilizing AI technology, Emdash can analyze text snippets, making it easier for users to remember and learn from their readings. The tool offers features such as conceptual cousins, instant semantic search, tagging, rating, note-taking, and reflection capabilities. Emdash is free, open-source, and allows users to export their organized data back to epub format for review on e-readers. Additionally, the tool promotes random discovery of forgotten ideas, rephrasing dense concepts with metaphors, and supports importing highlights from various sources like Kindle. Emdash prioritizes user privacy by conducting on-device analysis and offers the flexibility to opt into advanced features. Future updates include Monk-Mode Lenses for summarizing complex ideas, Socratic switch for book interviews, cross-device syncing, backup, and publishing or sharing excerpts.

Photes.io is a photo-to-notes application that utilizes AI technology to convert your photos into organized notes. It allows you to capture, convert, and store notes from various sources such as slides, meetups, classes, and whiteboards. The app offers features like easy integration with popular apps, tagging and categorizing notes for better organization, real-time sync across devices, secure and private data storage, and customizable templates for formatting notes.

Quanta Quest is an AI-powered personal knowledge management tool that boosts productivity by providing a universal search for all personal data sources. It seamlessly connects and searches across platforms like Gmail, Dropbox, and Notion with precision. The tool ensures privacy-first security, unified personal data management, and intelligent search capabilities. Users worldwide love how Quanta Quest simplifies personal information management and revolutionizes project and research organization.

ScreenSnapAI is an AI-powered screenshot manager for macOS that helps users capture, search, and organize their screenshots effortlessly. It uses GPT-4 to automatically generate smart screenshot names, descriptions, and keywords, making it easy to find and organize screenshots. ScreenSnapAI also features smart folders for automatic filtering, lightning-fast full-text search, and the ability to import images from other sources (pro version only).

WellyBox is an AI-powered platform designed to help users organize receipts and invoices effortlessly. With the power of AI, WellyBox automatically collects and analyzes receipts from various sources, integrates them with business tools and accountants, and simplifies financial operations for over 70,000 businesses worldwide. The platform offers a seamless solution for managing financial documents, saving time on administrative tasks, and ensuring efficient receipt organization.

NotebookLM is an AI-powered note-taking and research assistant that leverages Google's Gemini 1.5 Pro model. It helps users organize and analyze information from uploaded documents, providing personalized insights and in-line citations. NotebookLM prioritizes user privacy by not using personal data to train its AI, ensuring the security of sensitive information. The application is designed to assist users in transforming information into actionable insights efficiently and collaboratively.

Olvy is an AI-powered platform designed to help businesses manage user feedback efficiently. It offers a comprehensive solution for collecting and organizing feedback from various sources such as surveys, interviews, reviews, support tickets, and sales calls. By leveraging state-of-the-art AI technology, Olvy transforms raw feedback into actionable insights, enabling companies to make data-driven decisions and continuously improve their products. The platform streamlines feedback analysis, automates data processing, and provides valuable reports to enhance customer understanding and product development.

Personamo Workflow is an AI-powered tool that allows users to control their feed algorithms using LEGO-like blocks. Users can adjust the signal-to-noise ratio of their feed, prioritize content, and filter out unwanted information. The tool aggregates content from various sources, such as news sites, blogs, and subreddits, enabling users to consume and organize information in one place. Additionally, users can customize feeds for different personas to receive relevant recommendations tailored to their preferences.

Feedly is a news aggregator that allows users to organize, read, and share news from a variety of sources. It uses AI to help users discover new content and stay up-to-date on the latest news. Feedly is available as a web app, iOS app, and Android app.

Sync.AI is an AI-powered business communication tool that integrates various communication tools like calendar, calls, and email to provide users with a holistic overview of their business activities. It enhances productivity by syncing data from daily activities and third-party sources, leading to more informed decision-making and shorter sales cycles.

Recall is an AI-driven application that allows users to summarize any online content and save it to a knowledge base. The tool automatically organizes and interlinks the content for easy rediscovery. Users can save time by getting key points from various sources like podcasts, YouTube videos, news articles, and PDFs. Recall uses AI for automatic categorization, spaced repetition learning, and data export. The application prioritizes security, data protection, and user control over data ownership and portability.

Aethera is a collaborative knowledge discovery platform that leverages advanced AI models to help teams and individuals understand documents, YouTube videos, and websites without the need to read them. It offers powerful features for organizing, personalizing, and discovering information, along with document management tools, multilingual support, and the ability to summarize and compare multiple documents. Aethera also allows users to create personalized AI assistants, chat with sets of documents using personas, and work collaboratively within organizations. The platform is designed to streamline knowledge discovery processes and boost productivity by providing tailored insights and summaries from various sources.

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.

OpenRead is an AI-powered research tool that offers a seamless research experience by providing access to a vast repository of over 300 million papers and trillions of web sources. It allows users to search for papers in real-time, gain valuable insights, and explore trending research topics effortlessly. With features like paper Espresso, Paper Q&A, and related Paper Graph, OpenRead aims to enhance research productivity and knowledge organization. The tool also offers the ability to disable web support for focused tasks and remembers chat history for easy reference.

Fullpath is a Customer Data Platform (CDP) designed specifically for auto dealerships, powered by AI technology. It helps dealerships organize and activate their first-party data, enabling hyper-personalized customer experiences, targeted marketing campaigns, and improved customer engagement throughout the sales funnel. Fullpath offers features like identity resolution, audience building, data activation, AI-driven insights, and dynamic integrations to enhance dealership operations and drive sales. The platform aims to eliminate data silos, provide personalized customer experiences, optimize marketing efforts, engage the entire sales funnel, and ensure compliance with data privacy regulations.

Notable AI is an AI tool designed to help users capture, share, and manage key takeaways from various sources efficiently. It leverages artificial intelligence to streamline the process of extracting and organizing important information, making it easier for users to access and utilize valuable insights. With Notable AI, users can enhance their productivity by quickly capturing essential points, sharing them with others, and effectively managing their key learnings.

Helper Systems has developed technology that restores the trust between students who want to use AI tools for research and faculty who need to ensure academic integrity. With kOS (pronounced chaos), students can easily provide proof of work using a platform that significantly simplifies and enhances the research process in ways never before possible. Add PDF files from your desktop, shared drives or the web. Annotate them if you desire. Use AI responsibly, knowing when information is generated from your research vs. the web. Instantly create a presentation of all your resources. Share and prove your work. Try other cool features that offer a unique way to find, organize, discover, archive, and present information.

DocsAI is an AI-powered document companion that helps you organize, search, and chat with your documents. It integrates with various sources, including websites, text files, PDFs, Docx, Notion, and Confluence. You can customize the companion's appearance to match your brand and suggest better answers to improve its accuracy. DocsAI also offers a chat widget that can be embedded on any website, allowing you to chat with your documents and get summaries, insights, and leads. It is mobile and tablet-friendly, and you can export chats and analyze data to identify trends and improve customer satisfaction. DocsAI is open source and offers custom prompts and multi-language support.

JabRef is an open-source, cross-platform citation and reference management tool that helps users collect, organize, cite, and share research sources. It offers features like searching across online scientific catalogues, importing references in various formats, extracting metadata from PDFs, customizable citation key generator, support for Word and LibreOffice/OpenOffice, and more. Users can organize their research items hierarchically, find and merge duplicates, attach related documents, and keep track of what they read. JabRef also supports sharing via various export options and syncs library contents in a team via a SQL database. It is actively developed, free of charge, and offers native BibTeX and Biblatex support.

Cube is a semantic layer for building data applications, helping data engineers and application developers access data from modern data stores, organize it into consistent definitions, and deliver it to every application. It works with SQL-enabled data sources, providing sub-second latency and high concurrency for API requests. Cube addresses SQL code organization, performance, and access control issues in data applications, enabling efficient data modeling, access control, and performance optimizations for various tools like embedded analytics, dashboarding, reporting, and data notebooks.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

Auto-News is an automatic news aggregator tool that utilizes Large Language Models (LLM) to pull information from various sources such as Tweets, RSS feeds, YouTube videos, web articles, Reddit, and journal notes. The tool aims to help users efficiently read and filter content based on personal interests, providing a unified reading experience and organizing information effectively. It features feed aggregation with summarization, transcript generation for videos and articles, noise reduction, task organization, and deep dive topic exploration. The tool supports multiple LLM backends, offers weekly top-k aggregations, and can be deployed on Linux/MacOS using docker-compose or Kubernetes.

Pathway's LLM (Large Language Model) Apps provide a platform to quickly deploy AI applications using the latest knowledge from data sources. The Python application examples in this repository are Docker-ready, exposing an HTTP API to the frontend. These apps utilize the Pathway framework for data synchronization, API serving, and low-latency data processing without the need for additional infrastructure dependencies. They connect to document data sources like S3, Google Drive, and Sharepoint, offering features like real-time data syncing, easy alert setup, scalability, monitoring, security, and unification of application logic.

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.

SoM-LLaVA is a new data source and learning paradigm for Multimodal LLMs, empowering open-source Multimodal LLMs with Set-of-Mark prompting and improved visual reasoning ability. The repository provides a new dataset that is complementary to existing training sources, enhancing multimodal LLMs with Set-of-Mark prompting and improved general capacity. By adding 30k SoM data to the visual instruction tuning stage of LLaVA, the tool achieves 1% to 6% relative improvements on all benchmarks. Users can train SoM-LLaVA via command line and utilize the implementation to annotate COCO images with SoM. Additionally, the tool can be loaded in Huggingface for further usage.

PhotoPrism is an AI-powered photos app for the decentralized web. It uses the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.

5ire is a cross-platform desktop client that integrates a local knowledge base for multilingual vectorization, supports parsing and vectorization of various document formats, offers usage analytics to track API spending, provides a prompts library for creating and organizing prompts with variable support, allows bookmarking of conversations, and enables quick keyword searches across conversations. It is licensed under the GNU General Public License version 3.

This repository focuses on organizing resources for building synthetic datasets using large language models. It covers important datasets, libraries, tools, tutorials, and papers related to synthetic data generation. The goal is to provide pragmatic and practical resources for individuals interested in creating synthetic datasets for machine learning applications.

LLMWare is a framework for quickly developing LLM-based applications including Retrieval Augmented Generation (RAG) and Multi-Step Orchestration of Agent Workflows. This project provides a comprehensive set of tools that anyone can use - from a beginner to the most sophisticated AI developer - to rapidly build industrial-grade, knowledge-based enterprise LLM applications. Our specific focus is on making it easy to integrate open source small specialized models and connecting enterprise knowledge safely and securely.

Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.

Firebase Genkit (beta) is a framework with powerful tooling to help app developers build, test, deploy, and monitor AI-powered features with confidence. Genkit is cloud optimized and code-centric, integrating with many services that have free tiers to get started. It provides unified API for generation, context-aware AI features, evaluation of AI workflow, extensibility with plugins, easy deployment to Firebase or Google Cloud, observability and monitoring with OpenTelemetry, and a developer UI for prototyping and testing AI features locally. Genkit works seamlessly with Firebase or Google Cloud projects through official plugins and templates.

The Artificial Intelligence Incident Database (AIID) is a collection of incidents involving the development and use of artificial intelligence (AI). The database is designed to help researchers, policymakers, and the public understand the potential risks and benefits of AI, and to inform the development of policies and practices to mitigate the risks and promote the benefits of AI. The AIID is a collaborative project involving researchers from the University of California, Berkeley, the University of Washington, and the University of Toronto.

A curated list of Generative AI projects, tools, artworks, and models

STORM is a LLM system that writes Wikipedia-like articles from scratch based on Internet search. While the system cannot produce publication-ready articles that often require a significant number of edits, experienced Wikipedia editors have found it helpful in their pre-writing stage. **Try out our [live research preview](https://storm.genie.stanford.edu/) to see how STORM can help your knowledge exploration journey and please provide feedback to help us improve the system 🙏!**

Awesome MLOps is a curated list of tools related to Machine Learning Operations, covering areas such as AutoML, CI/CD for Machine Learning, Data Cataloging, Data Enrichment, Data Exploration, Data Management, Data Processing, Data Validation, Data Visualization, Drift Detection, Feature Engineering, Feature Store, Hyperparameter Tuning, Knowledge Sharing, Machine Learning Platforms, Model Fairness and Privacy, Model Interpretability, Model Lifecycle, Model Serving, Model Testing & Validation, Optimization Tools, Simplification Tools, Visual Analysis and Debugging, and Workflow Tools. The repository provides a comprehensive collection of tools and resources for individuals and teams working in the field of MLOps.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

Engaging, friendly guide for academic literature reviews using research question or topic

主题、论点、大纲、批判性思维考虑因素、论证图的设计、引用和参考文献

Easy Speedy Wikipedia Citations

Especialista em brechós, garimpos coletivos, moda sustentável e estratégias de venda.

Expert in sourcing and organizing knowledge databases for GPTs.

Your go-to source for golf tips, course insights, and swing mastery.

Expert in bass fishing, offering practical advice on baits and strategies.

Friendly AI travel companion for personalized trip planning.

Organize and develop ideas, respecting privacy and copyright laws.

Organize, Journal, and Achieve: Your All-in-One App for Masterful Task Management and Reflection

Analyzes and categorizes perfume data from Excel, or lists. Upload a file with your perfume names or just the names of your perfumes and this GPT will help you organize the information.

Helps you organize any text into a Jira ticket!

I organize my thoughts using ontology matrices, for detailed CWP advice.

I help organize your feelings when you're feeling unclear or frustrated etc and aware of important matters. It's also great for sharing happy moments. I support your emotional well-being and self-understanding.

I brainstorm and organize story ideas into structured events, world facts, and character outlines. Elevate your storytelling craft with Fiction Flow's GhostWriter series; learn more at fictionflow.io.

I help plan and organize RAM Rallies. A RAM Rally is a unique type of rally geared toward adventure motorcycle and dual sport riders of all skill levels.

I help declutter your space by analyzing room photos and suggesting what to organize.

Align, organize, and enhance design assets effortlessly.

Connect and interact with your Google accounts. Organize, retrieve, and manipulate data with A.I

Solve math and logic with Smart GPT. Use Tree and Chain of thoughts to organize and find answers.