Best 97 AI search engine Tools of 2025

Dropbox Dash is a business tool that combines AI search, organization, and content access control. It allows users to quickly find the necessary content from company applications, files, and tags while ensuring content security. Dash streamlines team collaboration processes by connecting various tools, such as Google Drive, Microsoft OneDrive, and Dropbox. Key advantages of Dash include AI-driven universal search, one-click content control, a centralized homepage, and easily shareable content collections. Provided by Dropbox, it serves over 700 million registered users and is a trusted productivity tool.

Bilin AI is a website that utilizes artificial intelligence technology to provide a global information search service that is unbiased and hallucination-free. Through advanced algorithms and machine learning techniques, it helps users filter out false information and biased content, thereby obtaining more authentic and accurate search results. In this age of information overload, the importance of Bilin AI is self-evident; it helps users save time and enhance the efficiency and quality of information retrieval.

Perplexity is an AI-based search and discovery tool designed to provide users with credible and up-to-date answers. It helps users efficiently obtain the information they need through AI-guided searches, voice or text queries, in-depth thread follow-ups, a built-in trust system (citing sources), and a personal knowledge base. This app is suitable for anyone seeking to quickly access accurate information, from students and researchers to casual knowledge explorers. Perplexity is currently available for free download, with in-app purchase options offered.

TurboSeek is an innovative AI search engine that provides users with fast and accurate search results by integrating the Bing Search API with advanced large language models (LLMs) like Mixtral 8x7B and Llama-3. This search engine is characterized by its ability to understand and process natural language queries, returning more relevant and in-depth information. Its significance lies in enhancing the efficiency of information retrieval, especially when dealing with large datasets and complex queries. TurboSeek was inspired by advanced search engines like Perplexity, aiming to deliver a more intelligent and efficient search tool. Currently, the product is available for free and is primarily targeted at tech enthusiasts and users dealing with substantial information.

PodcastWorld is a search engine that utilizes artificial intelligence technology to help users find the answers they need by analyzing millions of podcast dialogues. Users can ask questions and listen directly to the segments in podcasts that address these queries. This platform not only offers a new way to interact with podcast content but also enables deeper engagement with podcast creators through its chat feature. PodcastWorld fulfills user needs for information retrieval and knowledge sharing by providing podcast summaries, audio clips, and complete dialogue records.

ColPali is an efficient document retrieval tool based on visual language models, simplifying the retrieval process by directly embedding images of document pages. Leveraging the latest visual language model technology, particularly the PaliGemma model, ColPali improves retrieval performance through late interaction mechanisms for multi-vector retrieval. This technology not only accelerates indexing speed and reduces query latency, but also excels in retrieving documents containing visual elements such as charts, tables, and images. ColPali introduces a new paradigm of 'visual space retrieval' in the field of document retrieval, enhancing the efficiency and accuracy of information retrieval.

Kimi Exploration Edition is an advanced deep reasoning AI search feature of Kimi. It interprets and breaks down problems, then searches and infers answers, allowing for thorough reading of 500 pages in a single search. This new feature enables Kimi to think like a human, providing more accurate and practical search results. It can also use mathematical models and programming to tackle complex issues, and engage in self-reflection when needed to optimize answers. In short, the Kimi Exploration Edition makes AI search smarter and closer to human cognitive processes.

Arc Search is a modern, AI-supported mobile browser designed to help users find answers more quickly without distractions from the internet. It employs intelligent search technology to filter out unnecessary information, directly targeting the answers users need, thereby enhancing search efficiency.

VARAG is a system that supports various retrieval technologies, optimized for different use cases of text, image, and multimodal document retrieval. It simplifies traditional retrieval workflows by embedding document pages as images and enhances retrieval accuracy and efficiency through advanced visual language models. VARAG's primary advantage lies in its capability to handle complex visual and textual content, providing robust support for document retrieval.

Wen Xiaoyan is an intelligent search assistant app launched by Baidu, based on the Wenxin large model. It leverages AI technology to offer various services such as search, creation, and chat. The product personalizes search results and creative suggestions by remembering user preferences and needs, and supports voice and photo input for easier access to information and content creation.

Jina ColBERT v2 is an advanced late-interaction retrieval model built on the ColBERT architecture, supporting 89 languages with superior retrieval performance, user-controllable output dimensions, and processing capabilities for text lengths up to 8192 tokens. It represents a revolutionary advancement in information retrieval, approximating the joint query-document attention of cross-encoders through late-interaction scoring, while maintaining inference efficiency close to traditional dense retrieval models.

Qwant is a privacy-focused search engine that, unlike common search engines, does not track user search behavior and protects user data from misuse. Qwant provides search services for web pages, news, social media, and in multiple languages, committed to delivering a safe and neutral search environment for users.

This project, built with Next.js, leverages Upstash Vector to provide semantic search capabilities for Wikipedia. It features optimized loading of the custom Google font, Inter, to enable efficient search and retrieval of Wikipedia content.

MiniPerplx is an AI-based minimalist search engine designed to help users quickly find the information they need on the internet. It utilizes APIs from AI service providers like OpenAI, Anthropic, and Tavily, integrating these technologies to deliver fast and accurate search results. The product is developed using a tech stack that includes TypeScript, CSS, and JavaScript, and follows the MIT License.

OpenPerPlex is an open-source AI search engine that leverages cutting-edge technology to provide web search functionality. It combines techniques such as semantic chunking, result reordering, Google search integration, and Groq as an inference engine, supporting the Llama 3 70B model to enhance search accuracy and efficiency.

DiscovAI-search is an AI technology-based search engine designed for AI tools and customized data. It utilizes vector search technology to convert user queries into vectors for precise similarity matching. With Redis caching technology, it significantly improves response time for repeated queries. Additionally, it features a comprehensive database of AI products spanning various categories and industries. Powered by large language models (LLM), it provides detailed, context-aware answers based on search results. The user-friendly interface is designed for easy navigation, helping users efficiently discover AI products.

OpenSearch GPT is a personalized AI search engine designed to learn and adapt to user browsing habits to provide more tailored search results. It is powered by Mem0 for automatic memory collection and retrieval, built on the Vercel AI ADK framework, and combines modern front-end technologies like Next.js, Tailwind CSS, Shadcn UI, along with Cobe's Earth animation effects and the GPT-4o-mini model developed by the Supermemory.ai team.

MindSearch is a multi-agent network search engine framework based on large language models (LLM), with performance akin to Perplexity.ai Pro. Users can easily deploy their own search engines, supporting both proprietary large language models (such as GPT and Claude) and open-source large language models (like InternLM2.5-7b-chat). It features the ability to tackle any real-world problem by utilizing internet knowledge to provide in-depth and comprehensive knowledge base answers; displays detailed solution pathways to improve the credibility and usability of final responses; offers an optimized UI experience with various interface options including React, Gradio, Streamlit, and Terminal; and dynamically constructs graphs that break down user queries into atomic sub-problems within the graph, progressively expanding it based on WebSearcher results.

SearchGPT is a new AI search feature prototype currently under testing by OpenAI. It merges the powerful capabilities of AI models with web information, providing users with quick, timely, and clearly sourced answers. This prototype is currently available only to a small group of users and publishers for feedback purposes. SearchGPT aims to enhance the model's conversational abilities through real-time web information, making it faster and easier to find answers. Users can also ask follow-up questions in an interactive manner, with context built around each query. OpenAI is committed to establishing a thriving ecosystem with publishers and creators by enhancing the search experience through a conversational interface that highlights high-quality content and provides multiple opportunities for user engagement.

Bing Generative Search is a new search experience launched by the Microsoft Bing team that combines generative AI and large language model (LLM) capabilities to deliver customized and dynamic search results. This technology understands user queries, reviews millions of information sources, dynamically matches content, and generates search results in a new AI-generated layout to more effectively meet the user's query intent.

Korvus is a search SDK built on Postgres, unifying the entire RAG (Retrieval Augmented Generation) process into a single database query. It offers high-performance, customizable search capabilities while minimizing infrastructure concerns. Korvus leverages PostgresML's pgml and pgvector extensions, compressing the RAG workflow within Postgres itself. It supports multi-language SDKs, including Python, JavaScript, Rust, and C, allowing developers to seamlessly integrate into existing technology stacks.

Pro Search is an advanced search functionality that goes beyond the free Quick Search option. It utilizes cutting-edge AI models, such as GPT-4 Omni and Claude 3, to perform in-depth research and deliver comprehensive and accurate answers. By linking to each cited source, it provides trustworthy information. Pro Search can solve complex problems, summarize information, and explain code, making it an ideal research assistant for students, scholars, professionals, and developers.

Meilisearch is a flexible and powerful user-centric search engine that can be easily integrated into any website or application. It's known for its lightning-fast search response (under 50 milliseconds) and plug-and-play capabilities (smart presets, zero-configuration startup). Meilisearch also offers advanced full-text search engine capabilities with excellent relevance for a wide range of use cases. Moreover, it's an open-source project with a friendly and rapidly growing community.

Qmedia is a multimedia AI content search engine that supports text/image and short video material search. It provides content integration and cross-modal RAG (Retrieval-Augmented Generation) content answering, with advantages such as local deployment and multi-modal model services.

AI-Free Search (udm=14) is a website providing an AI-free Google Search experience, allowing users to search without any interference from artificial intelligence. It utilizes the 'udm=14' parameter to achieve this, aiming to protect user privacy while delivering fast and accurate search results. Built by the Tedium team, the website supports open-source code, accessible through Glitch or GitHub.

Search by image on Amazon is a powerful browser extension designed to streamline your shopping experience on Amazon. With this plugin, users can right-click on any image and choose to search on Amazon. The plugin will upload the image to a server for analysis and then return matching Amazon products. It helps users quickly find suitable products, saving time and effort.

Semantic Search is an AI-powered semantic search extension. It leverages natural language processing models to pinpoint the answers you need from web pages or inputted text. Even if your question doesn't perfectly match web page content, this plugin can still deliver accurate answers. It boasts fast and precise search capabilities, providing an efficient information retrieval experience.

Verba is an open-source application designed to provide an end-to-end, seamless, and user-friendly retrieval-augmented generation (RAG) interface. It combines cutting-edge RAG techniques with Weaviate's context-aware database, supporting both local and cloud deployments, making it easy to explore datasets and extract insights.

RAG-Retrieval is a full-stack RAG refinement and inference framework that supports the inference of various RAG Reranker models, including vector models, delayed interactive models, and interactive models. It provides a lightweight Python library that allows users to call different RAG sorting models in a unified manner, simplifying the use and deployment of sorting models.

Perplexica is an open-source AI-driven search engine that not only searches the web but also understands your questions. It employs advanced machine learning algorithms like similarity search and embeddings to optimize results and provide clear answers with citation sources. Maintained using SearxNG to ensure you always have the latest information while preserving your privacy.