Best AI tools for< Index And Search Documents >

Shieldbase is an AI-powered enterprise search tool designed to provide secure and efficient search capabilities for businesses. It utilizes advanced artificial intelligence algorithms to index and retrieve information from various data sources within an organization, ensuring quick and accurate search results. With a focus on security, Shieldbase offers encryption and access control features to protect sensitive data. The platform is user-friendly and customizable, making it easy for businesses to implement and integrate into their existing systems. Shieldbase enhances productivity by enabling employees to quickly find the information they need, ultimately improving decision-making processes and overall operational efficiency.

MemFree is a hybrid AI search tool that allows users to search for information instantly and receive accurate answers from the internet, bookmarks, notes, and documents. With MemFree, users can easily index their bookmarks and web pages with just one click. The tool leverages GPT-4o mini for enhanced search capabilities, making it a powerful and efficient AI application for information retrieval.

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.

Zomory is an AI-powered knowledge search tool that allows users to search their Notion workspace with lightning-fast speed. It features natural language understanding, Slack integration, conversational interface, page search, and enterprise-level security. Zomory aims to revolutionize the way users find information by providing instant and accurate search results, eliminating the need for exact keywords. With Zomory 2.0 on the horizon, users can expect an enhanced search experience with exclusive beta access available.

Asktro is an AI tool that brings natural language search and an AI assistant to static documentation websites. It offers a modern search experience powered by embedded text similarity search and large language models. Asktro provides a ready-to-go search UI, plugin for data ingestion and indexing, documentation search, and an AI assistant for answering specific questions.

Eskwai is an AI-powered legal research tool that revolutionizes legal research by providing instant, trustworthy answers and insights from a comprehensive database of case laws and legislation. It features Smart Citator, a pioneering AI-powered citation index for African case laws, along with advanced features like document downloads, legislation amendment tracking, and enhanced Ask Kwame with a higher intelligence mode. Eskwai is trusted by over 2,000 law students and legal professionals across 120+ law firms and legal departments.

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.

Clip.audio is an AI-powered audio search engine that allows users to search for and discover audio clips from a variety of sources, including podcasts, music, and sound effects. The platform uses advanced machine learning algorithms to analyze and index audio content, making it easy for users to find the specific audio clips they are looking for.

PaperClip is an AI tool designed to help users keep track of their daily AI papers review. It allows users to memorize details from papers in machine learning, computer vision, and natural language processing. The tool offers an extension that enables users to find back important findings from AI research papers, ML blog posts, and news. PaperClip's AI runs locally, ensuring data privacy by not sending any information to external servers. Users can save and index their bits locally, with offline support for searching even without an internet connection. The tool also provides the ability to clean data by resetting saved bits or deleting all data.

Ragie is a fully managed RAG-as-a-Service platform designed for developers. It offers easy-to-use APIs and SDKs to help developers get started quickly, with advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search. Ragie allows users to connect directly to popular data sources like Google Drive, Notion, Confluence, and more, ensuring accurate and reliable information delivery. The platform is led by Craft Ventures and offers seamless data connectivity through connectors. Ragie simplifies the process of data ingestion, chunking, indexing, and retrieval, making it a valuable tool for AI applications.

karaok-AI is an open-source karaoke Player / Editor with automatic clip creation from any song file using vocals and lyrics extraction (Speech-to-Text). It uses WhisperHallu and WhisperTimeSync to extract vocals and lyrics. karaok-AI also includes kaiDJ, a minimalist and easy-to-use DJ Party Player with multi-sound cards support, two players with auto-mix between songs, and a pre-listen player. It can index thousands of songs in a single efficient database and allows for direct search and selection over all songs. Additionally, it offers playlist management with nested groups and the ability to open and save m3u and m3u8 playlists while keeping group definitions.

Collie is a one-click application that fetches every asset from your website to create an impressive knowledge hub for your users. It is powered by Mixpeek and offers amazing search experiences by extracting content, media, and files from URLs provided. Collie supports various types of content like PDFs, Images, Videos, Audio, HTML, and Text, making it a versatile tool for website owners. The application is free for up to 1000 pages or files and offers a private embedded file search for select users in beta.

Picovoice is an on-device Voice AI and local LLM platform designed for enterprises. It offers a range of voice AI and LLM solutions, including speech-to-text, noise suppression, speaker recognition, speech-to-index, wake word detection, and more. Picovoice empowers developers to build virtual assistants and AI-powered products with compliance, reliability, and scalability in mind. The platform allows enterprises to process data locally without relying on third-party remote servers, ensuring data privacy and security. With a focus on cutting-edge AI technology, Picovoice enables users to stay ahead of the curve and adapt quickly to changing customer needs.

Muse.ai is an all-in-one video platform that provides a suite of tools for video hosting, editing, searching, and monetization. It uses artificial intelligence (AI) to automatically transcribe, index, and label videos, making them easily searchable and discoverable. Muse.ai also offers a customizable video player, analytics, and integrations with other services. It is suitable for a wide range of users, including individuals, teams, businesses, and educational institutions.

BulkGenerate.com is an AI-powered tool that allows users to generate SEO articles in bulk with just a few clicks. It helps users create 100+ SEO optimized articles to improve site traffic and visibility on Google search results. The tool is free to use and does not require any logins. Users can utilize their own OpenAI API Key to generate unlimited articles in various formats like text, html, or markdown. BulkGenerate.com aims to simplify the process of content creation for website owners and marketers, offering advanced prompt settings and language options for custom article generation.

Desktop Docs is an all-in-one platform designed to simplify file management by allowing users to browse, edit, and export media files. The application leverages AI technology to automate tasks such as searching for files based on their content, indexing files using machine learning models, and providing a seamless editing experience. Desktop Docs aims to streamline the creative process by offering a centralized solution for managing digital media.

My Hacker News is an AI-powered platform that offers a personalized daily dose of Hacker News through a customized newsletter. The platform utilizes AI algorithms, including Claude3.5 Sonnet and GPT-4o, to semantically index HN stories and comments daily, finding new stories matching users' interests and reranking them. Users receive a tailored newsletter directly in their inbox, saving time and keeping them informed. The platform allows users to shape their digest and offers a free digest email service without the need for sign up.

SeeMe Index is an AI tool for inclusive marketing decisions. It helps brands and consumers by measuring brands' consumer-facing inclusivity efforts across public advertisements, product lineup, and DEI commitments. The tool utilizes responsible AI to score brands, develop industry benchmarks, and provide consulting to improve inclusivity. SeeMe Index awards the highest-scoring brands with an 'Inclusive Certification', offering consumers an unbiased way to identify inclusive brands.

Index Ventures is an AI tool that invests in groundbreaking founders and game-changers with a fire inside that can't be dimmed. They back visionaries across industries and provide resources, perspectives, and job opportunities for startups. The website showcases success stories of individuals like Assaf Rappaport, Linda Lian, and Alexandr Wang, who are making a significant impact in the tech and AI space. Index Ventures is committed to partnering with entrepreneurs to realize their vision and offers insights into the latest trends and investments in the startup ecosystem.

The AI Index is a comprehensive resource for data and insights on artificial intelligence. It provides unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. The AI Index tracks, collates, distills, and visualizes data relating to artificial intelligence. This includes data on research and development, technical performance and ethics, the economy and education, AI policy and governance, diversity, public opinion, and more.

VerifAI is a document-based question-answering system that addresses hallucinations in generative large language models and search engines. It retrieves relevant documents, generates answers with references, and verifies answers for accuracy. The engine uses generative search technology and a verification model to ensure no misinformation. VerifAI supports various document formats and offers user registration with a React.js interface. It is open-source and designed to be user-friendly, making it accessible for anyone to use.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and includes a process of embedding docs, queries, searching for top passages, creating summaries, using an LLM to re-score and select relevant summaries, putting summaries into prompt, and generating answers. The tool can be used to answer specific questions related to scientific research by leveraging citations and relevant passages from documents.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

Marqo is more than a vector database, it's an end-to-end vector search engine for both text and images. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.

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.

wdoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It aims to handle large volumes of diverse document types, making it ideal for researchers, students, and professionals dealing with extensive information sources. wdoc uses LangChain to process and analyze documents, supporting tens of thousands of documents simultaneously. The system includes features like high recall and specificity, support for various Language Model Models (LLMs), advanced RAG capabilities, advanced document summaries, and support for multiple tasks. It offers markdown-formatted answers and summaries, customizable embeddings, extensive documentation, scriptability, and runtime type checking. wdoc is suitable for power users seeking document querying capabilities and AI-powered document summaries.

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.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

Yet Another Chatbot is a sophisticated multimodal chat interface powered by advanced AI models and equipped with a variety of tools. This chatbot can search and browse the web in real-time, query Wikipedia for information, perform news and map searches, execute Python code, compose long-form articles mixing text and images, generate, search, and compare images, analyze documents and images, search and download arXiv papers, save conversations as text and audio files, manage checklists, and track personal improvements. It offers tools for web interaction, Wikipedia search, Python scripting, content management, image handling, arXiv integration, conversation generation, file management, personal improvement, and checklist management.

PaperQA is a minimal package for question and answering from PDFs or text files, providing very good answers with in-text citations. It uses OpenAI Embeddings to embed and search documents, and follows a process of embedding docs and queries, searching for top passages, creating summaries, scoring and selecting relevant summaries, putting summaries into prompt, and generating answers. Users can customize prompts and use various models for embeddings and LLMs. The tool can be used asynchronously and supports adding documents from paths, files, or URLs.

Ocular is a set of modules and tools that allow you to build rich, reliable, and performant Generative AI-Powered Search Platforms without the need to reinvent Search Architecture. We help you build you spin up customized internal search in days not months.

OramaCore is a database designed for AI projects, answer engines, copilots, and search functionalities. It offers features such as a full-text search engine, vector database, LLM interface, and various utilities. The tool is currently under active development and not recommended for production use due to potential API changes. OramaCore aims to provide a comprehensive solution for managing data and enabling advanced search capabilities in AI applications.

Vespa is an open-source search and AI engine that provides a unified platform for building and deploying search and AI applications. Vespa sample applications showcase various use cases and features of Vespa, including basic search, recommendation, semantic search, image search, text ranking, e-commerce search, question answering, search-as-you-type, and ML inference serving.

AwaDB is an AI native database designed for embedding vectors. It simplifies database usage by eliminating the need for schema definition and manual indexing. The system ensures real-time search capabilities with millisecond-level latency. Built on 5 years of production experience with Vearch, AwaDB incorporates best practices from the community to offer stability and efficiency. Users can easily add and search for embedded sentences using the provided client libraries or RESTful API.

LeetTools is an AI search assistant that can perform highly customizable search workflows and generate customized format results based on both web and local knowledge bases. It provides an automated document pipeline for data ingestion, indexing, and storage, allowing users to focus on implementing workflows without worrying about infrastructure. LeetTools can run with minimal resource requirements on the command line with configurable LLM settings and supports different databases for various functions. Users can configure different functions in the same workflow to use different LLM providers and models.

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.

chromem-go is an embeddable vector database for Go with a Chroma-like interface and zero third-party dependencies. It enables retrieval augmented generation (RAG) and similar embeddings-based features in Go apps without the need for a separate database. The focus is on simplicity and performance for common use cases, allowing querying of documents with minimal memory allocations. The project is in beta and may introduce breaking changes before v1.0.0.

The official Node.js client for Pinecone, written in TypeScript. This client library provides a high-level interface for interacting with the Pinecone vector database service. With this client, you can create and manage indexes, upsert and query vector data, and perform other operations related to vector search and retrieval. The client is designed to be easy to use and provides a consistent and idiomatic experience for Node.js developers. It supports all the features and functionality of the Pinecone API, making it a comprehensive solution for building vector-powered applications in Node.js.

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