Best AI tools for< Search Topics >

Perplexica is an AI-powered search tool designed to help users discover content within a library efficiently. The tool utilizes advanced algorithms to provide accurate and relevant search results, making it easier for users to find the information they need quickly and easily. With a user-friendly interface and powerful search capabilities, Perplexica is a valuable tool for researchers, students, and anyone looking to access information within a library or database.

EduHunt is an AI-powered search engine that helps users find quality educational content on YouTube. It allows users to search for specific topics and filters the results to show only the most relevant and high-quality videos. EduHunt also offers a variety of features to help users customize their search results, such as the ability to filter by language, duration, and difficulty level.

The website is a platform that offers an AI Video Search Engine. Users can index videos, sign in, and explore topics related to the human brain, Supabase, startups, AI image generation, and the future of startups. The platform has indexed 17274 videos totaling 277753 minutes. Users can view the code on Github or follow the creator on social media.

Felo Search is a free AI search engine developed by Sparticle Inc. It utilizes artificial intelligence technology to provide users with accurate and relevant search results. The platform is designed to enhance the search experience by understanding user queries and delivering personalized results. Felo Search aims to revolutionize the way people search for information online by leveraging AI algorithms to improve search efficiency and effectiveness.

Farro is an innovative search engine that utilizes AI technology to generate instant videos based on user searches. It offers a unique way to explore information by creating engaging video content in under a minute. Users can browse the internet, search for relevant media, and even upload files to convert them into videos. Farro is designed to provide up-to-date answers, educational content, in-depth explanations, and the ability to transform text-based information into visually appealing video presentations. The platform offers both free and premium options for users to access advanced features and unlimited video creations.

Talpa Search is a search engine developed by LibraryThing that allows users to search for books, movies, music, and various other topics. Users can search for a wide range of queries, from specific book quotes to movie genres. The platform aims to provide a user-friendly search experience for individuals looking to explore different media and information.

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.

Exa is a web API designed to provide AI applications with powerful access to the web by organizing and retrieving the best content using embeddings. It offers features like semantic search, similarity search, content scraping, and powerful filters to help developers and companies gather and process data for AI training and analysis. Exa is trusted by thousands of developers and companies for its speed, quality, and ability to provide up-to-date information from various sources on the web.

Goover is a personalized AI research agent that streamlines the process of acquiring knowledge by providing self-driving experiences. It offers users the ability to dive deeper into various topics through curated briefings, reports, and insights. Goover utilizes advanced AI technology to deliver tailored answers, identify key information, and facilitate meaningful discussions. Users can access knowledge anytime, anywhere through the mobile app, ensuring they stay informed and engaged with their passions. With Goover, users can track specific topics, receive automatic updates, and explore diverse perspectives effortlessly.

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

Deepfind is a privacy-first AI search engine that prioritizes user data protection. It allows users to conduct searches without the use of cookies, tracking, or storing personal information. Deepfind aims to provide a secure and efficient search experience while maintaining user privacy and data security.

Vectara is a conversational search demo that showcases the capabilities of a search tool with a conversational interface. Users can interact with the search tool using natural language queries, making the search process more intuitive and user-friendly. The demo aims to demonstrate how conversational search can enhance the user experience and improve search accuracy.

KeyPush is an AI search tool that serves as your ultimate AI and web search companion. It utilizes advanced technologies such as Bing and ChatGPT to provide users with the most relevant search results. Users can easily find information on a wide range of topics, from the best phones in the world to the latest stock market trends and trending topics globally. KeyPush also allows users to stay updated on NASA's upcoming news and events. With its intelligent search capabilities, KeyPush aims to enhance the search experience for users seeking accurate and timely information.

MiniPerplx is a minimalistic AI-powered search engine designed to help users find information on the internet efficiently. With its intuitive interface, users can quickly search for a wide range of topics, from weather updates to sports events and even solve simple queries like counting the occurrences of specific letters in a word or understanding literary references. MiniPerplx aims to streamline the search process and provide users with accurate and relevant results in a fast and user-friendly manner.

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.

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.

**Zomory** is a search engine for Notion, designed to help users quickly and easily find the information they need within their Notion workspace. It offers a number of features to make searching Notion more efficient, including: * **Always-on assistant:** Zomory is always running in the background, so you can search your Notion workspace at any time without having to open a new tab or window. * **Up-to-date results:** Zomory's results are always up-to-date, so you can be sure that you're getting the most relevant information. * **Conversational language:** You don't have to know specific keywords to find what you're looking for. Zomory understands natural language, so you can search using the same words and phrases that you would use when speaking to a colleague. * **Sources:** Zomory provides context for its results by showing you the source of each piece of information. This helps you to understand the context of the information and to evaluate its credibility. * **Integration with Slack:** Zomory integrates with Slack, so you can search your Notion workspace from anywhere. Zomory is a valuable tool for anyone who uses Notion. It can help you to save time, find the information you need more easily, and learn as you go.

The 'YouTube Comment Finder And AI Analysis' is a comprehensive web-based tool designed to simplify the process of searching, filtering, managing, and analyzing comments on YouTube videos. It empowers users to search, filter, sort, and analyze comments with ease, leveraging AI-powered comment analysis to gain insights into sentiment, trending topics, key points, and concise summaries of comments. The tool offers features such as comment search, filtering, sorting, exporting, and random comment picking, making it a valuable asset for content creators, marketers, and individuals looking to navigate the vast sea of comments on YouTube videos.

Kore.ai is an AI application that offers a wide range of conversational AI solutions for various industries such as financial services, healthcare, retail, and more. The platform provides features like automation, contact center AI, agent AI, search AI, and document segmentation. With a focus on customer, employee, and agent experiences, Kore.ai aims to optimize interactions through AI technologies. The platform also offers resources like blog posts, whitepapers, webinars, and technical documentation to support users in leveraging AI for their businesses.

MediSearch is an AI-powered application that provides direct science-based answers to medical questions. Users can filter questions based on their complexity level and receive detailed information on various health topics. The application aims to assist individuals in understanding medical information and making informed decisions about their health. It is important to note that MediSearch is not a substitute for a medical professional and users should consult healthcare providers for personalized medical advice.

Awesome-AI-Coding is a curated list of AI coding topics, projects, datasets, LLM models, embedding models, papers, blogs, products, startups, and peer awesome lists related to artificial intelligence in coding. It includes tools for code completion, code generation, code documentation, and code search, as well as AI models and techniques for improving developer productivity. The repository also features information on various AI-powered developer tools, copilots, and related resources in the AI coding domain.

pyLLMSearch is an advanced RAG system that offers a convenient question-answering system with a simple YAML-based configuration. It enables interaction with multiple collections of local documents, with improvements in document parsing, hybrid search, chat history, deep linking, re-ranking, customizable embeddings, and more. The package is designed to work with custom Large Language Models (LLMs) from OpenAI or installed locally. It supports various document formats, incremental embedding updates, dense and sparse embeddings, multiple embedding models, 'Retrieve and Re-rank' strategy, HyDE (Hypothetical Document Embeddings), multi-querying, chat history, and interaction with embedded documents using different models. It also offers simple CLI and web interfaces, deep linking, offline response saving, and an experimental API.

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.

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.

The AI Workshop repository provides a comprehensive guide to utilizing OpenAI's APIs, including Chat Completion, Embedding, and Assistant APIs. It offers hands-on demonstrations and code examples to help users understand the capabilities of these APIs. The workshop covers topics such as creating interactive chatbots, performing semantic search using text embeddings, and building custom assistants with specific data and context. Users can enhance their understanding of AI applications in education, research, and other domains through practical examples and usage notes.

This repository focuses on Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). It provides code and resources to augment LLMs with real-time data for dynamic, context-aware applications. The content covers topics such as semantic search, fine-tuning embeddings, building RAG chatbots, evaluating LLMs, and using knowledge graphs in RAG. Prerequisites include Python skills, knowledge of machine learning and LLMs, and introductory experience with NLP and AI models.

Discourse-air is a clean and modern theme for forums, featuring light and dark modes, clickable topics, loading slider, search banner, and category + group boxes. Users need to enable specific settings for the theme components to render properly. It offers customization options for color schemes, search banner placement, and category organization.

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 introduces and helps organizations get started with building AI Apps and incorporating Large Language Models (LLMs) into them. The workshop covers topics such as prompt engineering, AI orchestration, and deploying AI apps. Participants will learn how to use Azure OpenAI, Langchain/ Semantic Kernel, Qdrant, and Azure AI Search to build intelligent applications.

Agently Daily News Collector is an open-source project showcasing a workflow powered by the Agent ly AI application development framework. It allows users to generate news collections on various topics by inputting the field topic. The AI agents automatically perform the necessary tasks to generate a high-quality news collection saved in a markdown file. Users can edit settings in the YAML file, install Python and required packages, input their topic idea, and wait for the news collection to be generated. The process involves tasks like outlining, searching, summarizing, and preparing column data. The project dependencies include Agently AI Development Framework, duckduckgo-search, BeautifulSoup4, and PyYAM.

A curated repository of code recipes, demos, and resources for basic and advanced Redis use cases in the AI ecosystem. It includes demos for ArxivChatGuru, Redis VSS, Vertex AI & Redis, Agentic RAG, ArXiv Search, and Product Search. Recipes cover topics like Getting started with RAG, Semantic Cache, Advanced RAG, and Recommendation systems. The repository also provides integrations/tools like RedisVL, AWS Bedrock, LangChain Python, LangChain JS, LlamaIndex, Semantic Kernel, RelevanceAI, and DocArray. Additional content includes blog posts, talks, reviews, and documentation related to Vector Similarity Search, AI-Powered Document Search, Vector Databases, Real-Time Product Recommendations, and more. Benchmarks compare Redis against other Vector Databases and ANN benchmarks. Documentation includes QuickStart guides, official literature for Vector Similarity Search, Redis-py client library docs, Redis Stack documentation, and Redis client list.

This repository, Awesome-LLM-RAG, aims to record advanced papers on Retrieval Augmented Generation (RAG) in Large Language Models (LLMs). It serves as a resource hub for researchers interested in promoting their work related to LLM RAG by updating paper information through pull requests. The repository covers various topics such as workshops, tutorials, papers, surveys, benchmarks, retrieval-enhanced LLMs, RAG instruction tuning, RAG in-context learning, RAG embeddings, RAG simulators, RAG search, RAG long-text and memory, RAG evaluation, RAG optimization, and RAG applications.

LLM4Opt is a collection of references and papers focusing on applying Large Language Models (LLMs) for diverse optimization tasks. The repository includes research papers, tutorials, workshops, competitions, and related collections related to LLMs in optimization. It covers a wide range of topics such as algorithm search, code generation, machine learning, science, industry, and more. The goal is to provide a comprehensive resource for researchers and practitioners interested in leveraging LLMs for optimization tasks.

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 🙏!**

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.

Findto is a decentralized search tool for the Web and AI that puts people in control of algorithms. It aims to provide a better search experience by offering diverse sources, privacy and carbon level information, trends exploration, autosuggest, voice search, and more. Findto encourages a free search experience and promotes a healthier internet by empowering users with democratic choices.

FlashRank is an ultra-lite and super-fast Python library designed to add re-ranking capabilities to existing search and retrieval pipelines. It is based on state-of-the-art Language Models (LLMs) and cross-encoders, offering support for pairwise/pointwise rerankers and listwise LLM-based rerankers. The library boasts the tiniest reranking model in the world (~4MB) and runs on CPU without the need for Torch or Transformers. FlashRank is cost-conscious, with a focus on low cost per invocation and smaller package size for efficient serverless deployments. It supports various models like ms-marco-TinyBERT, ms-marco-MiniLM, rank-T5-flan, ms-marco-MultiBERT, and more, with plans for future model additions. The tool is ideal for enhancing search precision and speed in scenarios where lightweight models with competitive performance are preferred.

LLMChat is an all-in-one AI chat interface that supports multiple language models, offers a plugin library for enhanced functionality, enables web search capabilities, allows customization of AI assistants, provides text-to-speech conversion, ensures secure local data storage, and facilitates data import/export. It also includes features like knowledge spaces, prompt library, personalization, and can be installed as a Progressive Web App (PWA). The tech stack includes Next.js, TypeScript, Pglite, LangChain, Zustand, React Query, Supabase, Tailwind CSS, Framer Motion, Shadcn, and Tiptap. The roadmap includes upcoming features like speech-to-text and knowledge spaces.

The ChatGPT Telegram Bot is a powerful Telegram bot that utilizes various GPT models, including GPT3.5, GPT4, GPT4 Turbo, GPT4 Vision, DALL·E 3, Groq Mixtral-8x7b/LLaMA2-70b, and Claude2.1/Claude3 opus/sonnet API. It enables users to engage in efficient conversations and information searches on Telegram. The bot supports multiple AI models, online search with DuckDuckGo and Google, user-friendly interface, efficient message processing, document interaction, Markdown rendering, and convenient deployment options like Zeabur, Replit, and Docker. Users can set environment variables for configuration and deployment. The bot also provides Q&A functionality, supports model switching, and can be deployed in group chats with whitelisting. The project is open source under GPLv3 license.

INFO8006 Introduction to Artificial Intelligence is a course at ULiège that covers various topics in AI such as intelligent agents, problem-solving, games, probabilistic reasoning, machine learning, neural networks, reinforcement learning, and decision-making. The course includes lectures, exercises, and programming projects using Python. Students can access course materials, previous exams, and archived lectures to enhance their understanding of AI concepts.

帮助用户查询头条热搜榜

Your Source for the Latest News in 24 Hours

Web search expert for news on specific topics and time ranges.

Skilled at crafting search-optimized, reader-appealing topics with meta descriptions.

I conjure advanced Google search queries.

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

I'm Quora Search, specialized in finding Quora answers and insights.

Confident advisor for literature search, focusing on broad contexts.

Teaches you how to use the Metaphor Search API

Real-time search trends function like an app, providing live information on current trends. They display trending search terms in India in real-time and offer detailed web news information about the keywords selected by the user.

The Alien Word Search Generator 🔍🌌 🧩👽

Scientific therapist with web-search for fact-checking thoughts.

Public Domain PDF Books Finder GPT offers an expansive library of PDFs for easy search and download. It now specializes in finding public domain books from trusted sources.

Analyzes blog posts, suggests SEO topics. Link: https://goblinintheattic.com/

输入你要搜的关键词，或者丢一张图片，获取更多搜索灵感💡

中文论文指导和搜索助手

'검색엔진비서'는 Google, Youtube, Naver를 포함한 다양한 검색 엔진을 하나의 인터페이스를 통해 탐색할 수 있게 해주는 강력한 앱입니다.

Looper query strings assistant

Humorous meme finder focusing on TikTok, Instagram, and YouTube.

Summarize about the topic based on scientifically sound information