AI tools for SEARCHENGINE
Related Tools:
Zomory
**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.
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 the next-gen search engine for developers, providing enhanced search capabilities and features to streamline the development process. With Devv AI, users can unlock advanced models, access more search modes, and maintain a search history for improved productivity and efficiency.
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 17274 videos totaling 277753 minutes. Users can view the code on Github or follow the creator on social media.
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.
Vectara
Vectara is a conversational search demo that showcases the capabilities of a search tool using natural language processing. It allows users to interact with the search engine in a conversational manner, making the search process more intuitive and user-friendly. Vectara leverages advanced AI algorithms to understand user queries and provide relevant search results in real-time.
FindAMeal
FindAMeal is an AI-powered search engine that helps users discover nearby restaurants based on their personal preferences. By combining data from various food review providers and utilizing AI technology, FindAMeal simplifies the process of finding the perfect dining spot. Users can make any type of query, from finding a date spot to selecting a fancy restaurant for special occasions. The platform aggregates information from sources like Google, Yelp, and Foursquare to offer tailored recommendations, making it easy for users to explore new dining experiences.
Outranking
Outranking is an AI-powered SEO content writing and optimization tool that helps businesses create high-quality, search engine-friendly content. It offers a range of features to help users research, plan, write, and optimize their content, including an AI-powered writing assistant, keyword research and analysis tools, and on-page optimization suggestions. Outranking is designed to help businesses improve their search engine rankings and drive more traffic to their websites.
GPTGO
GPTGO is a free search engine that combines traditional search results with ChatGPT responses. It offers a seamless integration of search and chat, providing users with comprehensive and accurate information. GPTGO eliminates the need for separate ChatGPT accounts and provides unlimited access to a premium ChatGPT account. It is compatible with various devices and browsers, ensuring accessibility and convenience. GPTGO prioritizes user privacy and security, ensuring that all user actions remain anonymous and protected.
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]
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.
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.
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.
qdrant
Qdrant is a vector similarity search engine and vector database. It is written in Rust, which makes it fast and reliable even under high load. Qdrant can be used for a variety of applications, including: * Semantic search * Image search * Product recommendations * Chatbots * Anomaly detection Qdrant offers a variety of features, including: * Payload storage and filtering * Hybrid search with sparse vectors * Vector quantization and on-disk storage * Distributed deployment * Highlighted features such as query planning, payload indexes, SIMD hardware acceleration, async I/O, and write-ahead logging Qdrant is available as a fully managed cloud service or as an open-source software that can be deployed on-premises.
milvus
Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility. For more architecture details, see Milvus Architecture Overview. Milvus was released under the open-source Apache License 2.0 in October 2019. It is currently a graduate project under LF AI & Data Foundation.
nucliadb
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.
lancedb
LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering, and management of embeddings. The key features of LanceDB include: Production-scale vector search with no servers to manage. Store, query, and filter vectors, metadata, and multi-modal data (text, images, videos, point clouds, and more). Support for vector similarity search, full-text search, and SQL. Native Python and Javascript/Typescript support. Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index(*). Ecosystem integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB, and more on the way. LanceDB's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.