AI tools for Searchengine
Related Tools:
Vectara
Vectara is a conversational search demo application that allows users to interact with a search engine using natural language. It provides a user-friendly interface where users can input search queries in the form of spoken language, making the search process more intuitive and efficient. Vectara leverages AI technology to understand and process natural language inputs, enabling users to search for information in a conversational manner. The application aims to enhance the search experience by bridging the gap between users and search engines through a conversational interface.
Devv AI
Devv AI is an AI tool designed for developers, offering unlimited access to top models like GPT-4 and other advanced features. It serves as a next-gen search engine for developers, allowing users to search the web, GitHub, and various tools. With Devv AI, developers can upgrade to Pro for enhanced features and unlock advanced models, search modes, and search history.
AI Video Search Engine
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 17272 videos over 277758 minutes. Users can view the code on Github or follow the creator.
GoSearch
GoSearch is an AI-powered Enterprise Search and Resource Discovery platform that enables users to search all internal apps and resources in seconds with the help of AI technology. It offers features like AI workplace assistant, unified knowledge hub, multimodal AI, custom GPTs, and a no-code AI chatbot builder. GoSearch aims to streamline knowledge management and boost productivity by providing instant answers and information discovery through advanced search innovations.
Tethered AI
Tethered AI is a search engine powered by OpenAI GPT-4. It allows users to ask questions and receive comprehensive, human-like responses. The tool is designed to be a more natural and intuitive way to search for information, as it understands the context and intent of the user's query. Tethered AI also provides a variety of features to help users refine their search results, such as the ability to filter by source, date, and language.
Andi
Andi is a next-generation search engine powered by AI. It provides answers instead of just links, offering a conversational search experience like chatting with a knowledgeable friend. Andi leverages generative AI to deliver comprehensive and human-like responses to user queries.
AlphaResearch
AlphaResearch is an AI-powered search engine and research platform for investors. It provides access to millions of global filings, transcripts, press releases, and reports, and uses machine learning and NLP techniques to extract insights from text data. AlphaResearch helps investors save time on research, understand market sentiment, and make better investment decisions.
Algolia
Algolia is an AI-powered search engine that helps businesses improve the customer experience on their websites and apps. It offers a range of features, including AI-powered search, AI-powered recommendations, and merchandising studio. Algolia is used by over 17,000 customers across 150+ countries, including The Times, LTK, Swedol, Hershey's, and Shoe Carnival.
Prefind
Prefind is an AI-powered search engine that utilizes the capabilities of advanced language models like Claude-3 and GPT-4. It aims to provide users with comprehensive and relevant search results, leveraging the power of AI to enhance the search experience.
Ai Prompt Search
Ai Prompt Search is a website that provides users with a search engine for AI art prompts. The website includes prompts for various AI art models, including Stable Diffusion, Midjourney, and Openjourney. Users can search for prompts by topic, such as anime, fashion, architecture, landscapes, interior design, 3D renders, and character design. The website also includes a section with frequently asked questions about AI art prompts.
Every AI Image
Every AI Image is a leading AI image search engine that allows users to search for and download high-quality AI-generated images. The images are sourced from various AI image-generating models, including Open AI's Dall-E 3, Stable Diffusion, and Midjourney. Users can search for images based on keywords, a broad search, or by selecting a category. The search engine is easy to use and does not require users to create an account or subscribe. Every AI Image is a great resource for artists, collectors, and anyone looking for high-quality AI-generated art.
Google Patents
Google Patents is a search engine that allows users to search through the full text of patents that have been granted by the United States Patent and Trademark Office (USPTO). The database includes patents from 1790 to the present day, and users can search by keyword, inventor, assignee, or patent number. Google Patents also provides access to images of the original patent documents, as well as links to related patents and articles.
Agora
Agora is a search engine specifically designed for e-commerce products. It allows users to easily find and compare products from a wide range of online retailers. Agora also provides users with access to product reviews, ratings, and other helpful information to make informed purchasing decisions.
Structurepedia
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.
Joby.ai
Joby.ai is an AI-powered job search engine that directly scans 500,000 jobs in real-time from company pages. It uses AI technology to find every company and job that is actively hiring on the internet. Users can search for jobs based on various criteria like job title, keywords, location, experience, date posted, salary range, and more. The platform also offers advanced search capabilities, exact keyword search, and the ability to exclude keywords for more precise results. Joby.ai aims to help users find hidden job opportunities that may not be available on traditional job search platforms like LinkedIn or Indeed, ensuring that all listings are current and actively hiring.
Deepfind
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.
ConvoSearch
ConvoSearch is an advanced AI search product designed to boost sales and enhance customer satisfaction for e-commerce stores. It offers a comprehensive search API, real-time analytics, and customer insights to improve the search experience. The platform integrates seamlessly with popular e-commerce platforms, providing solutions for small businesses and enterprises. ConvoSearch empowers businesses to understand customer behavior, optimize inventory, and increase conversions through AI-powered search capabilities.
descrybe.ai
descrybe.ai is a groundbreaking generative AI legal search engine that is revolutionizing legal research by providing instant access to more than 3.6 million summarized judicial opinions in English and Spanish. Built in Boston, this platform is designed to democratize access to the law for everyone, offering user-friendly and free legal information powered by AI technology. With descrybe.ai, users can search for relevant case law using natural language queries, explore nuanced results, and access simplified versions of legal information in both English and Spanish.
GoSearch
GoSearch is an AI Enterprise Search and AI Agents platform designed to enhance team knowledge management efficiency by providing AI-generated answers and information discovery. It offers features such as unified knowledge hub, multimodal AI, AI agents, no-code AI agent builder, and enterprise data protection. GoSearch helps users search all internal apps and resources in seconds with AI, chat with a personal assistant for instant answers, and create a company knowledge hub for easy information access.
Vectara
Vectara is a conversational search demo that showcases the capabilities of a search tool powered by natural language processing. The tool allows users to interact with the search engine using conversational language, making the search process more intuitive and user-friendly. By enabling JavaScript, users can experience the demo and explore how conversational search can enhance their search experience.
OpenIndex.ai
Chat with all the knowledge, documents and collections contributed to the OpenIndex search engine.
Search Helper with Henk van Ess and Translation
Refines search queries with specific terms and includes Google links
FlexiSearch Guru
I'm FlexiSearch Guru, your go-to for SAP Commerce Cloud's flexible search queries.
The Dorker
I help create precise Google Dork search strings using advanced search operators.
GPT Search & Finderr
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
Search Query Optimizer
Create the most effective database or search engine queries using keywords, truncation, and Boolean operators!
SearchQualityGPT
As a Search Quality Rater, you will help evaluate search engine quality around the world.
Topic Idea Generator
Skilled at crafting search-optimized, reader-appealing topics with meta descriptions.
EE-GPT
A search engine and troubleshooter for electrical engineers to promote an open-source community. Submit your questions, corrections and feedback to [email protected]
ai-video-search-engine
AI Video Search Engine (AVSE) is a video search engine powered by the latest tools in AI. It allows users to search for specific answers within millions of videos by indexing video content. The tool extracts video transcription, elements like thumbnail and description, and generates vector embeddings using AI models. Users can search for relevant results based on questions, view timestamped transcripts, and get video summaries. AVSE requires a paid Supabase & Fly.io account for hosting and can handle millions of videos with the current setup.
SirChatalot
A Telegram bot that proves you don't need a body to have a personality. It can use various text and image generation APIs to generate responses to user messages. For text generation, the bot can use: * OpenAI's ChatGPT API (or other compatible API). Vision capabilities can be used with GPT-4 models. Function calling can be used with Function calling. * Anthropic's Claude API. Vision capabilities can be used with Claude 3 models. Function calling can be used with tool use. * YandexGPT API Bot can also generate images with: * OpenAI's DALL-E * Stability AI * Yandex ART This bot can also be used to generate responses to voice messages. Bot will convert the voice message to text and will then generate a response. Speech recognition can be done using the OpenAI's Whisper model. To use this feature, you need to install the ffmpeg library. This bot is also support working with files, see Files section for more details. If function calling is enabled, bot can generate images and search the web (limited).
awesome-ai-seo
Awesome-AI-SEO is a curated list of powerful AI tools and platforms designed to transform your SEO strategy. This repository gathers the most effective tools that leverage machine learning and artificial intelligence to automate and enhance key aspects of search engine optimization. Whether you are an SEO professional, digital marketer, or website owner, these tools can help you optimize your site, improve your search rankings, and increase organic traffic with greater precision and efficiency. The list features AI tools covering on-page and off-page optimization, competitor analysis, rank tracking, and advanced SEO analytics. By utilizing cutting-edge technologies, businesses can stay ahead of the competition by uncovering hidden keyword opportunities, optimizing content for better visibility, and automating time-consuming SEO tasks. With frequent updates, Awesome-AI-SEO is your go-to resource for discovering the latest AI-driven innovations in the SEO space.
search_with_ai
Build your own conversation-based search with AI, a simple implementation with Node.js & Vue3. Live Demo Features: * Built-in support for LLM: OpenAI, Google, Lepton, Ollama(Free) * Built-in support for search engine: Bing, Sogou, Google, SearXNG(Free) * Customizable pretty UI interface * Support dark mode * Support mobile display * Support local LLM with Ollama * Support i18n * Support Continue Q&A with contexts.
LLM_Web_search
LLM_Web_search project gives local LLMs the ability to search the web by outputting a specific command. It uses regular expressions to extract search queries from model output and then utilizes duckduckgo-search to search the web. LangChain's Contextual compression and Okapi BM25 or SPLADE are used to extract relevant parts of web pages in search results. The extracted results are appended to the model's output.
kumo-search
Kumo search is an end-to-end search engine framework that supports full-text search, inverted index, forward index, sorting, caching, hierarchical indexing, intervention system, feature collection, offline computation, storage system, and more. It runs on the EA (Elastic automic infrastructure architecture) platform, enabling engineering automation, service governance, real-time data, service degradation, and disaster recovery across multiple data centers and clusters. The framework aims to provide a ready-to-use search engine framework to help users quickly build their own search engines. Users can write business logic in Python using the AOT compiler in the project, which generates C++ code and binary dynamic libraries for rapid iteration of the search engine.
search_with_lepton
Build your own conversational search engine using less than 500 lines of code. Features built-in support for LLM, search engine, customizable UI interface, and shareable cached search results. Setup includes Bing and Google search engines. Utilize LLM and KV functions with Lepton for seamless integration. Easily deploy to Lepton AI or your own environment with one-click deployment options.
Search-R1
Search-R1 is a tool that trains large language models (LLMs) to reason and call a search engine using reinforcement learning. It is a reproduction of DeepSeek-R1 methods for training reasoning and searching interleaved LLMs, built upon veRL. Through rule-based outcome reward, the base LLM develops reasoning and search engine calling abilities independently. Users can train LLMs on their own datasets and search engines, with preliminary results showing improved performance in search engine calling and reasoning tasks.
swirl-search
Swirl is an open-source software that allows users to simultaneously search multiple content sources and receive AI-ranked results. It connects to various data sources, including databases, public data services, and enterprise sources, and utilizes AI and LLMs to generate insights and answers based on the user's data. Swirl is easy to use, requiring only the download of a YML file, starting in Docker, and searching with Swirl. Users can add credentials to preloaded SearchProviders to access more sources. Swirl also offers integration with ChatGPT as a configured AI model. It adapts and distributes user queries to anything with a search API, re-ranking the unified results using Large Language Models without extracting or indexing anything. Swirl includes five Google Programmable Search Engines (PSEs) to get users up and running quickly. Key features of Swirl include Microsoft 365 integration, SearchProvider configurations, query adaptation, synchronous or asynchronous search federation, optional subscribe feature, pipelining of Processor stages, results stored in SQLite3 or PostgreSQL, built-in Query Transformation support, matching on word stems and handling of stopwords, duplicate detection, re-ranking of unified results using Cosine Vector Similarity, result mixers, page through all results requested, sample data sets, optional spell correction, optional search/result expiration service, easily extensible Connector and Mixer objects, and a welcoming community for collaboration and support.
ai-powered-search
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.
wikipedia-semantic-search
This repository showcases a project that indexes millions of Wikipedia articles using Upstash Vector. It includes a semantic search engine and a RAG chatbot SDK. The project involves preparing and embedding Wikipedia articles, indexing vectors, building a semantic search engine, and implementing a RAG chatbot. Key features include indexing over 144 million vectors, multilingual support, cross-lingual semantic search, and a RAG chatbot. Technologies used include Upstash Vector, Upstash Redis, Upstash RAG Chat SDK, SentenceTransformers, and Meta-Llama-3-8B-Instruct for LLM provider.
duckduckgo_search
Duckduckgo_search is a Python library that enables AI chat and search functionalities for text, news, images, and videos using the DuckDuckGo.com search engine. It provides various methods for different search types such as text, images, videos, and news. The library also supports search operators, regions, proxy settings, and exception handling. Users can interact with the DuckDuckGo API to retrieve search results based on specific queries and parameters.
local-genAI-search
Local-GenAI Search is a local generative search engine powered by the Llama3 model, allowing users to ask questions about their local files and receive concise answers with relevant document references. It utilizes MS MARCO embeddings for semantic search and can run locally on a 32GB laptop or computer. The tool can be used to index local documents, search for information, and provide generative search services through a user interface.
awesome-ai-web-search
The 'awesome-ai-web-search' repository is a curated list of AI-powered web search software that focuses on the intersection of Large Language Models (LLMs) and web search capabilities. It contains a timeline of various software supporting web search with LLM summarization, chat capabilities, and agent-driven research. The repository showcases both open-source and closed-source tools, providing a comprehensive overview of AI web search solutions available in the market.
infinity
Infinity is an AI-native database designed for LLM applications, providing incredibly fast full-text and vector search capabilities. It supports a wide range of data types, including vectors, full-text, and structured data, and offers a fused search feature that combines multiple embeddings and full text. Infinity is easy to use, with an intuitive Python API and a single-binary architecture that simplifies deployment. It achieves high performance, with 0.1 milliseconds query latency on million-scale vector datasets and up to 15K QPS.
rag-experiment-accelerator
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.
trieve
Trieve is an advanced relevance API for hybrid search, recommendations, and RAG. It offers a range of features including self-hosting, semantic dense vector search, typo tolerant full-text/neural search, sub-sentence highlighting, recommendations, convenient RAG API routes, the ability to bring your own models, hybrid search with cross-encoder re-ranking, recency biasing, tunable popularity-based ranking, filtering, duplicate detection, and grouping. Trieve is designed to be flexible and customizable, allowing users to tailor it to their specific needs. It is also easy to use, with a simple API and well-documented features.
MiniSearch
MiniSearch is a minimalist search engine with integrated browser-based AI. It is privacy-focused, easy to use, cross-platform, integrated, time-saving, efficient, optimized, and open-source. MiniSearch can be used for a variety of tasks, including searching the web, finding files on your computer, and getting answers to questions. It is a great tool for anyone who wants a fast, private, and easy-to-use search engine.
vespa
Vespa is a platform that performs operations such as selecting a subset of data in a large corpus, evaluating machine-learned models over the selected data, organizing and aggregating it, and returning it, typically in less than 100 milliseconds, all while the data corpus is continuously changing. It has been in development for many years and is used on a number of large internet services and apps which serve hundreds of thousands of queries from Vespa per second.