Best AI tools for< Create Citations >

CitationGenerator.AI is an AI-powered citation generator that helps users create accurate citations in APA, MLA, Chicago, and Harvard formats. The tool automatically extracts information from URLs, titles, ISBNs, or DOIs to generate precise citations. It offers a clean interface, supports multiple citation styles, and allows users to manage their research efficiently with features like import/export capabilities and custom fonts. CitationGenerator.AI prioritizes user privacy by encrypting data and offers free access without any hidden costs or ads. The tool is designed to enhance research integrity and ease by providing a user-friendly experience.

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.

SlidesAI is an AI-powered tool that helps users create professional and engaging presentation slides in seconds. With SlidesAI, users can simply paste their text into the tool, and the AI will automatically generate a presentation complete with design elements, images, and even speaker notes. SlidesAI is perfect for anyone who wants to save time and effort on creating presentations, including students, educators, business professionals, and marketers.

EssayGet is an AI tool designed to assist users in writing academic papers by providing features such as humanizing text, ensuring plagiarism-free content, generating in-text citations, and creating comprehensive outlines. The tool utilizes advanced algorithms to refine and rephrase writing, making it undetectable by top AI detectors like Turnitin, GPTZero, and Originality.ai. EssayGet aims to help students maintain the authenticity and originality of their work effortlessly, trusted by top university students for its reliable services.

TrainMyAI is a comprehensive solution for creating AI chatbots using retrieval augmented generation (RAG) technology. It allows users to build custom AI chatbots on their servers, enabling interactions over WhatsApp, web, and private APIs. The platform offers deep customization options, fine-grained user management, usage history tracking, content optimization, and linked citations. With TrainMyAI, users can maintain full control over their AI models and data, either on-premise or in the cloud.

Henshu is an AI-powered writing assistant that helps users improve their writing style, grammar, and tone. It offers a variety of features, including the ability to check for plagiarism, generate citations, and translate text into different languages. Henshu is designed to help users create clear, concise, and engaging content.

Salam Chat is an AI-powered chatbot application designed to help users learn about Islam more easily. It features a halal filter that provides citations to the Quran & Hadith, ensuring the accuracy and reliability of the information shared. The chatbot is volunteer-driven and open-source, with plans to implement more features in the future. It is a safe platform for kids as it filters out content outside the scope of Islam. The application is developed by the Minority Think Tank Foundation, aiming to create a ChatGPT alternative for the Muslim community.

Slideoo is an AI-powered tool for creating captivating presentations and professional documents in minutes. It offers real-time collaboration features, chatbot assistance, and AI-generated content to enhance productivity and streamline the document creation process. With over 10,000 customers from 10 countries, Slideoo revolutionizes the way presentations are made by transforming ideas from various sources into dynamic slides and documents effortlessly.

MyReport is an AI-powered tool that helps users create automated reports in minutes. It uses advanced NLP technology to navigate the web and gather relevant information based on a user's input. The tool offers appealing full reports with professional outcomes, including images, graphs, tables, citations, quotes, and references. It also allows users to work with their own data by sharing a drive folder with their documents. MyReport is private and secure, and the user's information is not shared with third parties. The tool is available for professional users and offers fast generation and instant link sharing.

Machined.ai is an AI-powered platform that automates the creation of content clusters for SEO optimization. It generates a large number of informational articles on any topic, structured and interlinked to boost search engine rankings. The platform fully automates keyword research, clustering, content writing, and interlinking processes. With advanced AI models, Machined.ai produces high-quality, human-like content in over 120 languages. It offers features like automated SEO, keyword research, clustering, internal linking, topical research, references, citations, external linking, and direct publishing to WordPress and Webflow. Machined.ai is cost-effective, scalable, and designed for startups, niche site owners, and programmatic site builders.

Jenni is an AI-powered text editor that helps you write, edit, and cite with confidence. It offers a range of features to enhance your research and writing capabilities, including autocomplete, in-text citations, paraphrasing, and a reference library. Trusted by universities and businesses worldwide, Jenni has helped over 3 million academics write over 970 million words.

Katteb is an AI-powered writing software that utilizes rigorous fact-checking techniques to deliver you content of the highest credibility. It ensures to provide you with reliable information supported by credible sources and in-text citations. By using Katteb, you can significantly enhance your credibility and trust score in search engines.

DISCO is a leading provider of ediscovery and legal technology solutions. The company's cloud-based platform helps law firms and corporate legal teams streamline the discovery process, reduce costs, and improve outcomes. DISCO's AI-powered features include Cecilia, an AI fact expert that can answer questions about cases based on evidence in a database; AI timeline creation, which can automatically generate timelines summarizing key facts in minutes; AI large-scale document review, which can automate document review using generative AI; and AI witness digests, which can summarize depositions with citations, topics, and dates. DISCO's platform is easy to use and provides a defensible audit trail. The company also offers a range of professional services, including managed review, deposition review, and expert consulting.

RikiGPT is an AI tool designed for academic research, offering access to over 200 million scholarly sources. It provides enhanced writing experiences with detailed content, customizable reference lists, and integration with the latest GPT technology. Users can generate a 200-page thesis in just 1 minute, receive full academic chapters, and benefit from in-text citations and bibliography support. The tool also offers full translation services to over 100 languages, making it a comprehensive solution for research and writing needs.

Multilings is a neural AI-based machine learning service that provides human-like output for text translation, content writing, plagiarism detection, and voice translation. It is designed for marketers, content writers, researchers, students, and anyone who needs to create high-quality content quickly and efficiently. Multilings offers a range of tools, including a writing assistant, language translator, plagiarism checker, citation generator, and AI chatbot. These tools are powered by advanced machine learning and artificial intelligence algorithms that can generate natural-sounding text, translate languages accurately, detect plagiarism effectively, and provide helpful writing suggestions.

HeyScience is a personal AI assistant that helps users with research and writing tasks. It is powered by thesify.ai, a powerful AI-driven study assistant. HeyScience offers a variety of features, including the ability to generate citations, create outlines, and check for plagiarism. It also provides access to a vast database of academic resources.

Microsoft AppSource is an AI-powered platform that helps businesses find and access a wide range of innovative applications to drive business outcomes and increase productivity. It offers solutions across various categories like AI, machine learning, analytics, collaboration, finance, marketing, and more. Users can explore and discover apps tailored to their specific business needs, enabling them to leverage existing resources effectively.

CoWriter AI is an advanced AI copilot for smart writing, powered by GPT-4 technology. It offers a range of features to enhance writing efficiency, originality, and time-saving capabilities. CoWriter caters to students, professionals, researchers, and writers by providing AI-powered autocompletion, citation formatting aid, bibliography library, writing styles and tones, and an outline builder. The application transforms writing experiences across various fields, including academic research, content creation, technical writing, business communications, creative writing, marketing, advertising, and legal documentation.

AI-Writer is an AI-powered text generator that helps users create unique, high-quality content quickly and efficiently. It offers a range of features, including keyword optimization, plagiarism detection, and citation generation, making it an ideal tool for marketers, writers, and students. With its user-friendly interface and comprehensive capabilities, AI-Writer empowers users to streamline their content creation process and achieve better results.

QuillWord is an AI-powered text editor designed to enhance academic and research writing. It offers a range of AI-powered tools, including an email writer, text summarizer, outline generator, essay rewriter, essay extender, essay shortener, essay introduction generator, essay conclusion generator, essay topic generator, research title generator, abstract generator, essay checker, and AI-powered autocompletion. QuillWord also provides citation support in various styles, a reference library, and an AI assistant called Copilot. It is suitable for students, teachers, researchers, and writers who want to improve their writing efficiency and quality.

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

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

GPT Academic is a powerful tool that leverages the capabilities of large language models (LLMs) to enhance academic research and writing. It provides a user-friendly interface that allows researchers, students, and professionals to interact with LLMs and utilize their abilities for various academic tasks. With GPT Academic, users can access a wide range of features and functionalities, including: * **Summarization and Paraphrasing:** GPT Academic can summarize complex texts, articles, and research papers into concise and informative summaries. It can also paraphrase text to improve clarity and readability. * **Question Answering:** Users can ask GPT Academic questions related to their research or studies, and the tool will provide comprehensive and well-informed answers based on its knowledge and understanding of the relevant literature. * **Code Generation and Explanation:** GPT Academic can generate code snippets and provide explanations for complex coding concepts. It can also help debug code and suggest improvements. * **Translation:** GPT Academic supports translation of text between multiple languages, making it a valuable tool for researchers working with international collaborations or accessing resources in different languages. * **Citation and Reference Management:** GPT Academic can help users manage their citations and references by automatically generating citations in various formats and providing suggestions for relevant references based on the user's research topic. * **Collaboration and Note-Taking:** GPT Academic allows users to collaborate on projects and take notes within the tool. They can share their work with others and access a shared workspace for real-time collaboration. * **Customizable Interface:** GPT Academic offers a customizable interface that allows users to tailor the tool to their specific needs and preferences. They can choose from a variety of themes, adjust the layout, and add or remove features to create a personalized workspace. Overall, GPT Academic is a versatile and powerful tool that can significantly enhance the productivity and efficiency of academic research and writing. It empowers users to leverage the capabilities of LLMs and unlock new possibilities for academic exploration and knowledge creation.

RAG Foundry is a library designed to enhance Large Language Models (LLMs) by fine-tuning models on RAG-augmented datasets. It helps create training data, train models using parameter-efficient finetuning (PEFT), and measure performance using RAG-specific metrics. The library is modular, customizable using configuration files, and facilitates prototyping with various RAG settings and configurations for tasks like data processing, retrieval, training, inference, and evaluation.

DataDreamer is a powerful open-source Python library designed for prompting, synthetic data generation, and training workflows. It is simple, efficient, and research-grade, allowing users to create prompting workflows, generate synthetic datasets, and train models with ease. The library is built for researchers, by researchers, focusing on correctness, best practices, and reproducibility. It offers features like aggressive caching, resumability, support for bleeding-edge techniques, and easy sharing of datasets and models. DataDreamer enables users to run multi-step prompting workflows, generate synthetic datasets for various tasks, and train models by aligning, fine-tuning, instruction-tuning, and distilling them using existing or synthetic data.

LARS is an application that enables users to run Large Language Models (LLMs) locally on their devices, upload their own documents, and engage in conversations where the LLM grounds its responses with the uploaded content. The application focuses on Retrieval Augmented Generation (RAG) to increase accuracy and reduce AI-generated inaccuracies. LARS provides advanced citations, supports various file formats, allows follow-up questions, provides full chat history, and offers customization options for LLM settings. Users can force enable or disable RAG, change system prompts, and tweak advanced LLM settings. The application also supports GPU-accelerated inferencing, multiple embedding models, and text extraction methods. LARS is open-source and aims to be the ultimate RAG-centric LLM application.

Cohere's Build-Your-Own-Connector framework allows integration of Cohere's Command LLM via the Chat API endpoint to any datastore/software holding text information with a search endpoint. Enables user queries grounded in proprietary information. Use-cases include question/answering, knowledge working, comms summary, and research. Repository provides code for popular datastores and a template connector. Requires Python 3.11+ and Poetry. Connectors can be built and deployed using Docker. Environment variables set authorization values. Pre-commits for linting. Connectors tailored to integrate with Cohere's Chat API for creating chatbots. Connectors return documents as JSON objects for Cohere's API to generate answers with citations.

hackingBuddyGPT is a framework for testing LLM-based agents for security testing. It aims to create common ground truth by creating common security testbeds and benchmarks, evaluating multiple LLMs and techniques against those, and publishing prototypes and findings as open-source/open-access reports. The initial focus is on evaluating the efficiency of LLMs for Linux privilege escalation attacks, but the framework is being expanded to evaluate the use of LLMs for web penetration-testing and web API testing. hackingBuddyGPT is released as open-source to level the playing field for blue teams against APTs that have access to more sophisticated resources.

ScrapeGraphAI is a web scraping Python library that utilizes LLM and direct graph logic to create scraping pipelines for websites and local documents. It offers various standard scraping pipelines like SmartScraperGraph, SearchGraph, SpeechGraph, and ScriptCreatorGraph. Users can extract information by specifying prompts and input sources. The library supports different LLM APIs such as OpenAI, Groq, Azure, and Gemini, as well as local models using Ollama. ScrapeGraphAI is designed for data exploration and research purposes, providing a versatile tool for extracting information from web pages and generating outputs like Python scripts, audio summaries, and search results.

WordLlama is a fast, lightweight NLP toolkit optimized for CPU hardware. It recycles components from large language models to create efficient word representations. It offers features like Matryoshka Representations, low resource requirements, binarization, and numpy-only inference. The tool is suitable for tasks like semantic matching, fuzzy deduplication, ranking, and clustering, making it a good option for NLP-lite tasks and exploratory analysis.

ScrapeGraphAI is a Python library that uses Large Language Models (LLMs) and direct graph logic to create web scraping pipelines for websites, documents, and XML files. It allows users to extract specific information from web pages by providing a prompt describing the desired data. ScrapeGraphAI supports various LLMs, including Ollama, OpenAI, Gemini, and Docker, enabling users to choose the most suitable model for their needs. The library provides a user-friendly interface through its `SmartScraper` class, which simplifies the process of building and executing scraping pipelines. ScrapeGraphAI is open-source and available on GitHub, with extensive documentation and examples to guide users. It is particularly useful for researchers and data scientists who need to extract structured data from web pages for analysis and exploration.

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 follows a process of embedding docs and queries, searching for top passages, creating summaries, scoring and selecting relevant summaries, putting summaries into prompt, and generating answers. Users can customize prompts and use various models for embeddings and LLMs. The tool can be used asynchronously and supports adding documents from paths, files, or URLs.

TurboSeek is an open source AI search engine powered by Together.ai. It utilizes Next.js with Tailwind for the app router, Together AI for LLM inference, Mixtral 8x7B & Llama-3 for the LLMs, Bing for the search API, Helicone for observability, and Plausible for website analytics. The tool takes a user's question, queries the Bing search API for top results, scrapes text from the links, sends the question and context to Mixtral-8x7B, and generates follow-up questions using Llama-3-8B. Future tasks include optimizing source parsing, ignoring video links, adding regeneration option, ensuring proper citations, enabling sharing, implementing scrolling during answers, fixing hard refresh, adding caching with upstash redis, incorporating advanced RAG techniques, and adding authentication with Clerk and postgres/prisma.

Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to increase the quality of trained models. The purpose of image augmentation is to create new training samples from the existing data.

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.

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.

LangChain is an amazing framework to get LLM projects done in a matter of no time, and the ecosystem is growing fast. Here is an attempt to keep track of the initiatives around LangChain. Subscribe to the newsletter to stay informed about the Awesome LangChain. We send a couple of emails per month about the articles, videos, projects, and tools that grabbed our attention Contributions welcome. Add links through pull requests or create an issue to start a discussion. Please read the contribution guidelines before contributing.

The AI Scientist is a comprehensive system for fully automatic scientific discovery, enabling Foundation Models to perform research independently. It aims to tackle the grand challenge of developing agents capable of conducting scientific research and discovering new knowledge. The tool generates papers on various topics using Large Language Models (LLMs) and provides a platform for exploring new research ideas. Users can create their own templates for specific areas of study and run experiments to generate papers. However, caution is advised as the codebase executes LLM-written code, which may pose risks such as the use of potentially dangerous packages and web access.

AI-IGU is a GitHub repository focused on Artificial Intelligence (AI) concepts, technology, software development, and algorithm improvement for all ages and professions. It emphasizes the importance of future software for future scientists and the increasing need for software developers in the industry. The repository covers various topics related to AI, including machine learning, deep learning, data mining, data science, big data, and more. It provides educational materials, practical examples, and hands-on projects to enhance software development skills and create awareness in the field of AI.

RAG-FiT is a library designed to improve Language Models' ability to use external information by fine-tuning models on specially created RAG-augmented datasets. The library assists in creating training data, training models using parameter-efficient finetuning (PEFT), and evaluating performance using RAG-specific metrics. It is modular, customizable via configuration files, and facilitates fast prototyping and experimentation with various RAG settings and configurations.

Comprehensive LibGuide Assistant

Lists paper info first, adapts tone to user's academic level.

Expert in article-based reference generation and formatting.

This tool is only useful if you have added new sources to your reference list and need to ensure that your in-text citations reflect these updates. Paste your essay below to get started.

Converts multiple citations to a single BibTeX block.

The Writing Metier Footnote Assistant is a specialized GPT model designed to help students efficiently create, format, and verify footnotes for their academic papers.

Easy Speedy Wikipedia Citations

Looking for the perfect Medium.com humanized stylish article made just for you? This GPT uses numerous APIs to find what's trending, what medium articles are currently popular, uses data to write an entire masterpiece along with images, sources, citations, video embeds, etc.

Expert in all academic in-text citation styles.

Converts book and news URLs to BibTeX

I generate bibliographies and footnotes for info.

LaTeX paper writing assistant and PDF formatter

I turn citation details into formatted tables.

Comprehensive dissertation aid with interactive and analytical tools

A smart assistant for creating effective academic notes.

Formats academic references to specific styles.

参考文献格式化和注释体例专家

Expert in all academic in-text citation styles.

Generate bibtex for a research paper title

Playful and clever ad creations, balancing visuals with humor.