Best AI tools for< Get Citations >

Coral AI is an AI-powered platform that helps users search, summarize, translate, and get citations from documents in over 90 languages. Trusted by researchers and professionals, it simplifies tasks such as summarizing documents, asking questions, translating content, and generating study guides. Users can upload documents, ask questions, and receive answers with page citations, making it a valuable tool for various use cases like books, legal documents, research papers, and more. With features like search without keywords, generating study guides, and simplifying document summaries, Coral AI enhances productivity and saves users time.

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 of the information shared. The chatbot is volunteer-driven and open-source, with plans to implement more features in the future. It is created by the Minority Think Tank Foundation, aiming to offer a ChatGPT alternative for the Muslim community.

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.

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.

Sourcely is an AI-powered academic search assistant that helps 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 finding sources, summarizing them, and exporting citations instantly. It simplifies source discovery, offers targeted citations, free PDF downloads, and a citations library for easy organization. Users can save time by getting credible summaries, exporting references in various formats, and applying advanced filters for tailored source discovery. Sourcely is a valuable tool for academic writing, research papers, theses, and essays, automating the search for appropriate citations and saving valuable time and energy.

Localo is an AI-powered local SEO tool and software designed to enhance the visibility and rankings of businesses on Google. It offers a comprehensive set of features such as position tracking, task management, monitoring, audit, publication platform, statistics, citations, and more. With AI-driven tasks and tools, Localo helps businesses attract new customers in their area and improve their online presence. The tool is suitable for various industries and functions, providing specialized solutions to improve business profiles and online visibility.

PDFsummarizer.net is an AI tool designed to simplify how users interact with PDF documents. It instantly generates AI summaries of PDF content, breaks language barriers, and offers organized conversations with direct citations. Whether for studying, research, or professional purposes, this tool enhances understanding and accessibility of information across various fields. It improves productivity by streamlining the process of extracting vital information.

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.

SciSpace is an AI-powered tool that helps researchers understand research papers better. It can explain and elaborate most academic texts in simple words. It is a great tool for students, researchers, and anyone who wants to learn more about a particular topic. SciSpace has a user-friendly interface and is easy to use. Simply upload a research paper or enter a URL, and SciSpace will do the rest. It will highlight key concepts, provide definitions, and generate a summary of the paper. SciSpace can also be used to generate citations and find related papers.

Wizdom.ai is an AI-powered research intelligence platform that provides comprehensive insights into the global research ecosystem. It continuously monitors billions of data points to generate analytics about scientific developments, helping users make informed decisions and progress research further and faster. Wizdom.ai offers a range of features, including:

PaperTyper is an online writing platform that offers a range of free tools for students to use in their academic writing. These tools include an AI essay writer, plagiarism checker, grammar checker, and citation generator. PaperTyper also offers a paid service where students can hire professional essay writers to write their papers for them.

Smodin is a multi-lingual writing assistance tool that provides a range of features to help users with their research and content creation needs. It offers AI-powered research tools, automatic reference generation, plagiarism detection, and instant feedback on writing. Smodin also includes a chat feature that allows users to ask questions and get answers on any subject. The tool is designed to help users write high-quality, structured text quickly and easily.

Perfect Essay Writer is an AI-powered tool that helps students write essays quickly and easily. With its user-friendly interface and advanced AI algorithms, Perfect Essay Writer can generate high-quality essays in seconds, without the need for sign-up or membership. Perfect Essay Writer offers a range of features to help students improve their writing, including an essay outliner, paragraph generator, citation machine, essay topic generator, paraphrasing tool, essay grader, thesis statement generator, content summarizer, content improver, and more.

EssayAI is an AI-powered essay writing tool that helps users generate high-quality, plagiarism-free essays. It is designed to be undetectable by AI detectors and offers a range of features to assist writers, including smart outlining, extensive scholarly database integration, instant citation system, intelligent AI chatbot, and vast AI-driven toolsets. EssayAI can be used to write essays for various academic levels and subjects, as well as research papers, theses, case studies, and analytical reviews. It is also suitable for content writing freelancers and students who need help improving their writing skills.

Samwell AI is an AI-powered writing assistant that helps students and professionals write essays, research papers, and other academic content. It offers a variety of features, including a guided essay writing tool, in-text citation generation, plagiarism checking, and access to a vast database of academic sources. Samwell AI is designed to make the writing process easier, faster, and more efficient.

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.

Luma Dream Machine is a cutting-edge AI application that empowers users to ideate, visualize, and create stunning images and videos with ease. By leveraging powerful image and video AI models, users can bring their creative visions to life in a fluid and intuitive manner. The platform offers a range of features to facilitate fast iteration, creative exploration, and seamless editing, making it a go-to tool for artists, designers, and content creators seeking to push the boundaries of visual storytelling.

Luma AI is a 3D capture platform that allows users to create interactive 3D scenes from videos. With Luma AI, users can capture 3D models of people, objects, and environments, and then use those models to create interactive experiences such as virtual tours, product demonstrations, and training simulations.

Tattoo Canvas is an AI-powered tattoo generator that allows users to create custom tattoo designs in seconds. With its intuitive platform and advanced technology, Tattoo Canvas makes it easy for anyone to design their dream tattoo, regardless of their skill level. Users can choose from a range of styles, including sketch, single line, traditional, and more, and customize their design with a variety of colors and options. Tattoo Canvas also offers a variety of affordable plans, making it accessible to everyone from individual enthusiasts to professional artists.

OddVibe is a platform that offers a collection of unnerving AI-generated images, perfect for those seeking a good scare or looking to create spooky content. Users can explore creepy images, submit their own creations, and even channel their inspiration into developing spooky games with Rosebud AI Gamemaker. The platform aims to provide a unique and chilling experience for users interested in AI-generated content.

A Rust based tool to evaluate LLM models, prompts and model params. It automates the process of selecting the best model parameters, given an LLM model and a prompt, iterating over the possible combinations and letting the user visually inspect the results. The tool assumes the user has Ollama installed and serving endpoints, either in `localhost` or in a remote server. Key features include: * Automatically fetches models from local or remote Ollama servers * Iterates over different models and params to generate inferences * A/B test prompts on different models simultaneously * Allows multiple iterations for each combination of parameters * Makes synchronous inference calls to avoid spamming servers * Optionally outputs inference parameters and response metadata (inference time, tokens and tokens/s) * Refetching of individual inference calls * Model selection can be filtered by name * List experiments which can be downloaded in JSON format * Configurable inference timeout * Custom default parameters and system prompts can be defined in settings

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.

LongCite is a tool that enables Large Language Models (LLMs) to generate fine-grained citations in long-context Question Answering (QA) scenarios. It provides models trained on GLM-4-9B and Meta-Llama-3.1-8B, supporting up to 128K context. Users can deploy LongCite chatbots, generate accurate responses, and obtain precise sentence-level citations. The tool includes components for model deployment, Coarse to Fine (CoF) pipeline for data construction, model training using LongCite-45k dataset, evaluation with LongBench-Cite benchmark, and citation generation.

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.

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.

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.

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.

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.

This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data using the Retrieval Augmented Generation pattern. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval.

This sample shows how to build a serverless chat experience with Retrieval-Augmented Generation using LangChain.js and Azure. The application is hosted on Azure Static Web Apps and Azure Functions, with Azure Cosmos DB for MongoDB vCore as the vector database. You can use it as a starting point for building more complex AI applications.

Step-DPO is a method for enhancing long-chain reasoning ability of LLMs with a data construction pipeline creating a high-quality dataset. It significantly improves performance on math and GSM8K tasks with minimal data and training steps. The tool fine-tunes pre-trained models like Qwen2-7B-Instruct with Step-DPO, achieving superior results compared to other models. It provides scripts for training, evaluation, and deployment, along with examples and acknowledgements.

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.

LLM-as-HH is a codebase that accompanies the paper ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution. It introduces Language Hyper-Heuristics (LHHs) that leverage LLMs for heuristic generation with minimal manual intervention and open-ended heuristic spaces. Reflective Evolution (ReEvo) is presented as a searching framework that emulates the reflective design approach of human experts while surpassing human capabilities with scalable LLM inference, Internet-scale domain knowledge, and powerful evolutionary search. The tool can improve various algorithms on problems like Traveling Salesman Problem, Capacitated Vehicle Routing Problem, Orienteering Problem, Multiple Knapsack Problems, Bin Packing Problem, and Decap Placement Problem in both black-box and white-box settings.

Awesome-LLM-Interpretability is a curated list of materials related to LLM (Large Language Models) interpretability, covering tutorials, code libraries, surveys, videos, papers, and blogs. It includes resources on transformer mechanistic interpretability, visualization, interventions, probing, fine-tuning, feature representation, learning dynamics, knowledge editing, hallucination detection, and redundancy analysis. The repository aims to provide a comprehensive overview of tools, techniques, and methods for understanding and interpreting the inner workings of large language models.

GPTLint is a tool that utilizes Large Language Models (LLMs) to enforce higher-level best practices across a codebase. It offers features such as enforcing rules that are impossible with AST-based approaches, simple markdown format for rules, easy customization of rules, support for custom project-specific rules, content-based caching, and outputting LLM stats per run. GPTLint supports all major LLM providers and local models, augments ESLint instead of replacing it, and includes guidelines for creating custom rules. However, the MVP rules are currently limited to JS/TS only, single-file context only, and do not support autofixing.

This repository contains the code for HOLD, a method that jointly reconstructs hands and objects from monocular videos without assuming a pre-scanned object template. It can reconstruct 3D geometries of novel objects and hands, enabling template-free bimanual hand-object reconstruction, textureless object interaction with hands, and multiple objects interaction with hands. The repository provides instructions to download in-the-wild videos from HOLD, preprocess and train on custom videos, a volumetric rendering framework, a generalized codebase for single and two hand interaction with objects, a viewer to interact with predictions, and code to evaluate and compare with HOLD in HO3D. The repository also includes documentation for setup, training, evaluation, visualization, preprocessing custom sequences, and using HOLD on ARCTIC.

GraphRAG Local Ollama is a repository that offers an adaptation of Microsoft's GraphRAG, customized to support local models downloaded using Ollama. It enables users to leverage local models with Ollama for large language models (LLMs) and embeddings, eliminating the need for costly OpenAPI models. The repository provides a simple setup process and allows users to perform question answering over private text corpora by building a graph-based text index and generating community summaries for closely-related entities. GraphRAG Local Ollama aims to improve the comprehensiveness and diversity of generated answers for global sensemaking questions over datasets.

MooER (摩耳) is an LLM-based speech recognition and translation model developed by Moore Threads. It allows users to transcribe speech into text (ASR) and translate speech into other languages (AST) in an end-to-end manner. The model was trained using 5K hours of data and is now also available with an 80K hours version. MooER is the first LLM-based speech model trained and inferred using domestic GPUs. The repository includes pretrained models, inference code, and a Gradio demo for a better user experience.

SwiftSage is a tool designed for conducting experiments in the field of machine learning and artificial intelligence. It provides a platform for researchers and developers to implement and test various algorithms and models. The tool is particularly useful for exploring new ideas and conducting experiments in a controlled environment. SwiftSage aims to streamline the process of developing and testing machine learning models, making it easier for users to iterate on their ideas and achieve better results. With its user-friendly interface and powerful features, SwiftSage is a valuable tool for anyone working in the field of AI and ML.

The Open MatSci ML Toolkit is a flexible framework for machine learning in materials science. It provides a unified interface to a variety of materials science datasets, as well as a set of tools for data preprocessing, model training, and evaluation. The toolkit is designed to be easy to use for both beginners and experienced researchers, and it can be used to train models for a wide range of tasks, including property prediction, materials discovery, and materials design.

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.

Your AI Research Assistant. Search 200M academic papers from Consensus, get science-based answers, and draft content with accurate citations.

Your source for detailed cricket info, with source citations.

Delivers daily, sector-specific cybersecurity threat intel briefs with source citations.

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Transforms ideas into Lego creations, keeps creation details private.

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I help create personalized cookbooks, complete with titles, recipes, and images.

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I help you write well crafted cold emails to get the sexiest jobs.

An delivery and workplace coach providing a space for you to explore topics meaningful to you.

Helping you to get better at buying for your business

"LikeImFive" is a specialized GPT designed to provide simplified explanations and clear answers to a wide range of everyday questions. It is tailored for those seeking to understand complex topics in simple, straightforward terms. No Fluff.

Transforming photos into South Park characters. Start by importing a image of yourself!

Simplifies complex topics into easy-to-understand, concise explanations for adults.

Active PR researcher for podcast booking.

Generates believable, ethical excuses for not attending work.

Advises on wealth-building strategies in a friendly, informative way.

Expert-led IT career guide with interactive coaching and real-world simulations.