Best AI tools for< Search Concepts >

Moogle is a semantic search tool designed for mathlib4, allowing users to find theorems quickly and efficiently. It provides a user-friendly interface for searching mathematical concepts and theorems within the mathlib4 database. Moogle streamlines the process of theorem discovery by leveraging semantic search technology, making it a valuable resource for mathematicians, researchers, and students alike.

Flim is a search engine for creative people that helps users find the perfect image to express their ideas. It offers a database of over 1 million images from movies, TV series, documentaries, music videos, and ads. Flim also provides a variety of tools to help users refine their search, including the ability to search by color, date, and frame size. Additionally, Flim offers a safe search tool that filters out explicit content. Flim is a valuable resource for creative professionals who need to find high-quality images for their projects.

Open Knowledge Maps is the world's largest AI-based search engine for scientific knowledge. It aims to revolutionize discovery by increasing the visibility of research findings for science and society. The platform is open and nonprofit, based on the principles of open science, with a mission to create an inclusive, sustainable, and equitable infrastructure for all users. Users can map research topics with AI, find documents, and identify concepts to enhance their literature search experience.

Zendy is an AI-powered research library and AI assistant that empowers users to explore open access and paywalled academic literature across all disciplines. It offers tools for faster reading and citing of research papers, including AI summarization, key phrase highlighting, and organizing reading lists. With a user-friendly interface, Zendy helps users save time during literature review, making research more efficient and productive.

SnapXam is an AI-powered math tutor that helps students learn math and physics step-by-step. It offers a variety of features, including a math solver, step-by-step solutions, and video explanations. SnapXam is available on iOS and Android devices.

MuckBrass.com is an AI-powered platform that helps aspiring entrepreneurs discover and validate startup ideas. It offers a detailed directory of solution-focused software ideas and allows users to leverage AI to ensure they are on the right track from the start. The platform analyzes pain points across various professions, generates high-quality business concepts, and provides valuable insights for business development.

Knowee is an AI-powered web application that provides 24/7 homework help, AI tutoring, and course notes. It offers high accuracy answers surpassing GPT-4 for various academic tasks. Users can upload images or drag and drop questions for assistance, get step-by-step solutions, and master diagrams. Knowee helps students review tough concepts, explore relevant questions, and enhance their grades across all subjects.

Bricksee is a web application that requires JavaScript to be enabled for proper functionality. It seems to be a tool or service that may involve visual elements or interactive features, possibly related to brick-related content. The website prompts users to enable JavaScript to continue using the service.

Onri is a platform designed to provide users with a personalized learning path and access to high-quality learning materials to help them learn any concept efficiently. It aims to address the challenges of the current learning process by offering guidance from domain experts, making learning more accessible and effective. Onri's mission is to support individuals in staying relevant in a fast-paced world by offering a free and efficient learning experience.

Structurepedia is an AI-powered platform that maps the structure of knowledge by providing structured and interactive information on various topics, including neural network architecture variants and other important concepts in machine learning and artificial intelligence. It offers a new way to learn by allowing users to explore topics through visual diagrams and detailed resources, making it easier to understand complex information. Structurepedia aims to revolutionize the way people access and comprehend knowledge in the age of AI, acting as a modern encyclopedia and search engine tailored for the AI era.

Lateral is an AI-powered research tool that helps academics and students streamline their workflow by seamlessly searching, saving, and organizing findings across their papers. It uses AI to generate an auto-generated table, name concepts, and provide super search capabilities, making it easy to find relevant information quickly. Lateral also allows users to collaborate and share their work, making it a valuable tool for researchers working on collaborative projects.

CommandBar is an AI-powered user assistance tool that provides in-product help, rich help docs, and a search function that automagically connects user queries to results that contain similar concepts, not just words. It also offers personalized search suggestions, page targeting, and audience targeting to ensure that users get the most relevant help possible.

Codeium is a free AI-powered code completion and chat tool that helps developers write better code faster. It provides real-time suggestions and documentation, and can even generate entire code snippets. Codeium is also a great way to learn new programming languages and concepts.

SEO Roast is an AI-powered SEO tool that offers SEO audits, action plans, and strategies to help websites improve their search engine rankings. The tool provides detailed video analysis, step-by-step implementation guides, priority lists for fixing issues, and a 6-month guarantee for results. Trusted by founders and businesses, SEO Roast simplifies complex SEO concepts into actionable insights, delivering immediate wins and long-term growth strategies. With a focus on data-driven analysis and tailored recommendations, SEO Roast helps businesses achieve a 300% increase in organic traffic and 5x more qualified leads. The tool uncovers hidden opportunities, provides backlink opportunities, and offers customized action plans to outrank competitors.

Locus is a free browser extension that uses natural language processing to help users quickly find information on any web page. It allows users to search for specific terms or concepts using natural language queries, and then instantly jumps to the relevant section of the page. Locus also integrates with AI-powered tools such as GPT-3.5 to provide additional functionality, such as summarizing text and generating code. With Locus, users can save time and improve their productivity when reading and researching online.

Emdash is an AI-powered tool designed to help users organize their book highlights efficiently. By utilizing AI technology, Emdash can analyze text snippets, enabling users to remember and learn from their readings effectively. 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. Emdash prioritizes user privacy by conducting on-device analysis and offers upcoming features like Monk-Mode Lenses and Socratic switch.

Ludo.ai is a comprehensive AI-powered platform designed to assist game studios in the pre-production stage of game development. It offers a suite of tools that leverage AI text generation, AI image generation, and AI-powered semantic search to streamline the process of researching, generating, and developing game concepts. Ludo.ai empowers game developers with the ability to generate new game ideas, monitor market trends, conduct in-depth research, organize and boost productivity, and access a range of resources to enhance their game design process.

OpenRead is an AI-powered research tool that helps users discover, understand, and organize scientific literature. It offers a variety of features to make research more efficient and effective, including semantic search, AI summarization, and note-taking tools. OpenRead is designed to help researchers of all levels, from students to experienced professionals, save time and improve their research outcomes.

TheBrain is an AI-powered digital memory product that helps users organize and connect their ideas, files, and life in a visual and intuitive way. It offers scalable, secure, and private cloud services, allowing users to sync data across devices with military-grade encryption. The application leverages AI for brainstorming, notes, and idea generation, providing users with new insights and efficient productivity tools. With features like visual collaboration for teams and powerful search capabilities, TheBrain aims to streamline information management and enhance productivity.

Kira Systems is a machine learning contract search, review, and analysis software that helps businesses identify, extract, and analyze content in their contracts and documents. It uses patented machine learning technology to extract concepts and data points with high efficiency and accuracy. Kira also has built-in intelligence that streamlines the contract review process with out-of-the-box smart fields. Businesses can also create their own smart fields to find specific data points using Kira's no-code machine learning tool. Kira's adaptive workflows allow businesses to organize, track, and export results. Kira has a partner ecosystem that allows businesses to transform how teams work with their contracts.

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

Superpipe is a lightweight framework designed for building, evaluating, and optimizing data transformation and data extraction pipelines using LLMs. It allows users to easily combine their favorite LLM libraries with Superpipe's building blocks to create pipelines tailored to their unique data and use cases. The tool facilitates rapid prototyping, evaluation, and optimization of end-to-end pipelines for tasks such as classification and evaluation of job departments based on work history. Superpipe also provides functionalities for evaluating pipeline performance, optimizing parameters for cost, accuracy, and speed, and conducting grid searches to experiment with different models and prompts.

QMedia is an open-source multimedia AI content search engine designed specifically for content creators. It provides rich information extraction methods for text, image, and short video content. The tool integrates unstructured text, image, and short video information to build a multimodal RAG content Q&A system. Users can efficiently search for image/text and short video materials, analyze content, provide content sources, and generate customized search results based on user interests and needs. QMedia supports local deployment for offline content search and Q&A for private data. The tool offers features like content cards display, multimodal content RAG search, and pure local multimodal models deployment. Users can deploy different types of models locally, manage language models, feature embedding models, image models, and video models. QMedia aims to spark new ideas for content creation and share AI content creation concepts in an open-source manner.

AI-Powered Search provides code examples for the book 'AI-Powered Search' by Trey Grainger, Doug Turnbull, and Max Irwin. The book teaches modern machine learning techniques for building search engines that continuously learn from users and content to deliver more intelligent and domain-aware search experiences. It covers semantic search, retrieval augmented generation, question answering, summarization, fine-tuning transformer-based models, personalized search, machine-learned ranking, click models, and more. The code examples are in Python, leveraging PySpark for data processing and Apache Solr as the default search engine. The repository is open source under the Apache License, Version 2.0.

A repository providing basic concepts, technical challenges, and resources on data engineering in Spanish. It is a curated list of free, Spanish-language materials found on the internet to facilitate the study of data engineering enthusiasts. The repository covers programming fundamentals, programming languages like Python, version control with Git, database fundamentals, SQL, design concepts, Big Data, analytics, cloud computing, data processing, and job search tips in the IT field.

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 a GPT model (gpt-35-turbo), and Azure AI Search for data indexing and retrieval. The repo includes sample data so it's ready to try end to end. In this sample application we use a fictitious company called Contoso Electronics, and the experience allows its employees to ask questions about the benefits, internal policies, as well as job descriptions and roles.

Boxcars is a Ruby gem that enables users to create new systems with AI composability, incorporating concepts such as LLMs, Search, SQL, Rails Active Record, Vector Search, and more. It allows users to work with Boxcars, Trains, Prompts, Engines, and VectorStores to solve problems and generate text results. The gem is designed to be user-friendly for beginners and can be extended with custom concepts. Boxcars is actively seeking ways to enhance security measures to prevent malicious actions. Users can use Boxcars for tasks like running calculations, performing searches, generating Ruby code for math operations, and interacting with APIs like OpenAI, Anthropic, and Google SERP.

Chocolate Factory is an open-source LLM application development framework designed to help you easily create powerful software development SDLC + LLM assistants. It provides a set of modules for integration into JVM projects and offers RAGScript for querying and local deployment examples. The tool follows a domain-driven problem-solving approach with key concepts like ProblemClarifier, ProblemAnalyzer, SolutionDesigner, SolutionReviewer, and SolutionExecutor. It supports use cases in desktop/IDE, server, and Android development, with a focus on AI-powered coding assistance and semantic search capabilities.

Hands-On Large Language Models is a repository containing code examples from the book 'The Illustrated LLM Book' by Jay Alammar and Maarten Grootendorst. The repository provides practical tools and concepts for using Large Language Models with over 250 custom-made figures. It covers topics such as language model introduction, tokens and embeddings, transformer LLMs, text classification, text clustering, prompt engineering, text generation techniques, semantic search, multimodal LLMs, text embedding models, fine-tuning representation models, and fine-tuning generation models. The examples are designed to be run on Google Colab with T4 GPU support, but can be adapted to other cloud platforms as well.

This repository contains samples to help design AI applications using data from an Azure SQL Database. It showcases technical concepts and workflows integrating Azure SQL data with popular AI components both within and outside Azure. The samples cover various AI features such as Azure Cognitive Services, Promptflow, OpenAI, Vanna.AI, Content Moderation, LangChain, and more. Additionally, there are end-to-end samples like Similar Content Finder, Session Conference Assistant, Chatbots, Vectorization, SQL Server Database Development, Redis Vector Search, and Similarity Search with FAISS.

Generative AI Workbook is a central repository for generative AI-related work, including projects, personal projects, and tools. It also features a blog section with bite-sized posts on various generative AI concepts. The repository covers use cases of Large Language Models (LLMs) such as search, classification, clustering, data/text/code generation, summarization, rewriting, extractions, proofreading, and querying data.

ChocoBuilder (aka Chocolate Factory) is an open-source LLM application development framework designed to help you easily create powerful software development SDLC + LLM generation assistants. It provides modules for integration into JVM projects, usage with RAGScript, and local deployment examples. ChocoBuilder follows a Domain Driven Problem-Solving design philosophy with key concepts like ProblemClarifier, ProblemAnalyzer, SolutionDesigner, SolutionReviewer, and SolutionExecutor. It offers use cases for desktop/IDE, server, and Android applications, with examples for frontend design, semantic code search, testcase generation, and code interpretation.

NucliaDB is a robust database that allows storing and searching on unstructured data. It is an out of the box hybrid search database, utilizing vector, full text and graph indexes. NucliaDB is written in Rust and Python. We designed it to index large datasets and provide multi-teanant support. When utilizing NucliaDB with Nuclia cloud, you are able to the power of an NLP database without the hassle of data extraction, enrichment and inference. We do all the hard work for you.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

RAGHub is a community-driven project focused on cataloging new and emerging frameworks, projects, and resources in the Retrieval-Augmented Generation (RAG) ecosystem. It aims to help users stay ahead of changes in the field by providing a platform for the latest innovations in RAG. The repository includes information on RAG frameworks, evaluation frameworks, optimization frameworks, citation frameworks, engines, search reranker frameworks, projects, resources, and real-world use cases across industries and professions.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

Redis Vector Library (RedisVL) is a Python client library for building AI applications on top of Redis. It provides a high-level interface for managing vector indexes, performing vector search, and integrating with popular embedding models and providers. RedisVL is designed to make it easy for developers to build and deploy AI applications that leverage the speed, flexibility, and reliability of Redis.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

This solution accelerator is built on Azure Cognitive Search Service and Azure OpenAI Service to synthesize post-contact center transcripts for intelligent contact center scenarios. It converts raw transcripts into customer call summaries to extract insights around product and service performance. Key features include conversation summarization, key phrase extraction, speech-to-text transcription, sensitive information extraction, sentiment analysis, and opinion mining. The tool enables data professionals to quickly analyze call logs for improvement in contact center operations.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

Trademark Process Assistant, Not an Attorney & Definitely Not Legal Advice (independently verify info received). Gain insights on U.S. trademark process & concepts, USPTO resources, application steps & more - all while being reminded of the importance of consulting legal pros 4 specific guidance.

A tutor for Energy Conversion Principles, providing detailed, searchable answers.

Concerts, Fairs, Festivals and more. Help in finding events with a personalized approach

AI Search Engine - About us & for Advertising at DigitalMediaMarketing.Agency

I conjure advanced Google search queries.

Analyzes GSC data and highlights the impact of search updates.

Creates Google Ads headlines in bulk based on direct response copy principles.

Search data on the impact of AI on jobs, productivity and operations published by Synthetic Work (https://synthetic.work)

Analyse content through the official Google Search Quality Rater Guidelines.

Refines search queries with specific terms and includes Google links

Your go-to expert for web searches.

Proustian Chatbot with Full French & English Volumes

GPT search. Click ["] to start working.

Browse the web for the search term and summarize the results from sources

Optimized with advanced search operators for refined results. Specializing in finding and linking top custom GPTs from builders around the world. Version 0.3.0

Create the most effective database or search engine queries using keywords, truncation, and Boolean operators!

Expert en Islam offrant des conseils détaillés sur la base du Saint Coran et des Hadiths

This GPT answers all the questions related to Google Search Console

OnlyFans Search Engine, provided by FansIQ.com

Expert in tailored accelerator search for startups.