Best AI tools for< Search Documents >

Zomory is an AI-powered knowledge search tool that allows users to search their Notion workspace with lightning-fast speed. It offers natural language understanding, Slack integration, conversational interface, page search, and enterprise security. Zomory is designed to provide users with instant access to the information they need, even if they are unsure of the exact keywords. It aims to revolutionize the way users search for knowledge within their workspace by combining AI technology with user-friendly features.

Constructable is an all-in-one construction management software designed to streamline workflows and enhance collaboration for modern construction teams. It offers purpose-built features to empower commercial construction teams, including AI-powered search, smart photo search, daily logs, punch lists, RFIs, submittals, financial management, and more. The application is known for its high performance, user-friendly interface, and team-first approach to collaboration. Constructable is built on strong foundations with enterprise-ready security and offline capabilities, ensuring data safety and seamless synchronization. It is a comprehensive solution for construction projects, offering predictable pricing and a wealth of complex technologies to support efficient project management.

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.

Albus is an AI-powered knowledge bot for Slack that instantly answers employees' questions with a personalized chatbot trained on your content from Google Drive, Notion, and 100 more. It helps save time by getting answers directly in your Slack workspace, streamline internal communication, and make it easier for employees to access information. Albus also offers a powerful dashboard that gives valuable insights into how your team is using the chatbot.

SvectorDB is a vector database built from the ground up for serverless applications. It is designed to be highly scalable, performant, and easy to use. SvectorDB can be used for a variety of applications, including recommendation engines, document search, and image search.

Superlinked is a compute framework for your information retrieval and feature engineering systems, focused on turning complex data into vector embeddings. Vectors power most of what you already do online - hailing a cab, finding a funny video, getting a date, scrolling through a feed or paying with a tap. And yet, building production systems powered by vectors is still too hard! Our goal is to help enterprises put vectors at the center of their data & compute infrastructure, to build smarter and more reliable software.

TextMine is an AI-powered knowledge base that helps businesses analyze, manage, and search thousands of documents. It uses AI to analyze unstructured textual data and document databases, automatically retrieving key terms to help users make informed decisions. TextMine's features include a document vault for storing and managing documents, a categorization system for organizing documents, and a data extraction tool for extracting insights from documents. TextMine can help businesses save time, money, and improve efficiency by automating manual data entry and information retrieval tasks.

Keylight AI is an AI-powered solution designed to help users efficiently find information within their documents. It offers lightning-fast searches, precision accuracy, a user-friendly interface, customizable prompts, and ensures secure and confidential document handling. Ideal for professionals across various industries, Keylight AI revolutionizes document search by providing quick and efficient navigation. Users can boost their productivity and save time with this innovative tool.

AI Law is a cutting-edge legal AI application that offers top-quality legal work without the hassle. It provides solutions to legal challenges faced by lawyers, such as complaint drafting, discovery responses, chat with AI, document search, and more. The application leverages artificial intelligence to streamline legal processes, saving time and effort while ensuring accuracy and efficiency. AI Law is trusted by lawyers to handle thousands of legal challenges monthly, making it a valuable tool for legal professionals seeking reliable legal drafting and analysis.

Search&AI is a comprehensive platform designed for patent due diligence, offering efficient and accurate results in minutes. It provides services such as prior art search, claim chart generation, novelty diligence analysis, portfolio analysis, document search, and AI-powered chatbot assistance. The platform is built by a team of experienced engineers and is tailored to streamline the patent discovery and analysis process, saving time and money compared to traditional outsourced search firms.

Selectric is a private search tool designed for Outlook, Gmail, Drive, Slack, and more. It aims to reduce the time spent searching by providing an efficient search function. The tool is AI-powered, focusing on enhancing productivity for knowledge workers. Selectric prioritizes privacy and security, ensuring that user data remains under their control. It offers secure search functionality, with AI processing data locally on the user's device. The tool integrates seamlessly with everyday apps, providing quick access to data across different platforms.

LangSearch is an AI tool that offers a free Web Search API and Rerank API, serving as the World Engine for AGI. It allows users to connect their LLM applications to access clean, accurate, high-quality context from billions of web documents, including news, images, videos, and more. The tool supports natural language search and provides enhanced search details for various content types.

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.

AnythingLLM is a full-stack application that enables you to turn any document, resource, or piece of content into context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions.

Danswer is an open-source Gen-AI Chat and Unified Search tool that connects to your company's docs, apps, and people. It provides a Chat interface and plugs into any LLM of your choice. Danswer can be deployed anywhere and for any scale - on a laptop, on-premise, or to cloud. Since you own the deployment, your user data and chats are fully in your own control. Danswer is MIT licensed and designed to be modular and easily extensible. The system also comes fully ready for production usage with user authentication, role management (admin/basic users), chat persistence, and a UI for configuring Personas (AI Assistants) and their Prompts. Danswer also serves as a Unified Search across all common workplace tools such as Slack, Google Drive, Confluence, etc. By combining LLMs and team specific knowledge, Danswer becomes a subject matter expert for the team. Imagine ChatGPT if it had access to your team's unique knowledge! It enables questions such as "A customer wants feature X, is this already supported?" or "Where's the pull request for feature Y?"

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.

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.

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.

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.

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.

Sycamore is a conversational search and analytics platform for complex unstructured data, such as documents, presentations, transcripts, embedded tables, and internal knowledge repositories. It retrieves and synthesizes high-quality answers through bringing AI to data preparation, indexing, and retrieval. Sycamore makes it easy to prepare unstructured data for search and analytics, providing a toolkit for data cleaning, information extraction, enrichment, summarization, and generation of vector embeddings that encapsulate the semantics of data. Sycamore uses your choice of generative AI models to make these operations simple and effective, and it enables quick experimentation and iteration. Additionally, Sycamore uses OpenSearch for indexing, enabling hybrid (vector + keyword) search, retrieval-augmented generation (RAG) pipelining, filtering, analytical functions, conversational memory, and other features to improve information retrieval.

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.

The Google Cloud Document AI Samples repository contains code samples and Community Samples demonstrating how to analyze, classify, and search documents using Google Cloud Document AI. It includes various projects showcasing different functionalities such as integrating with Google Drive, processing documents using Python, content moderation with Dialogflow CX, fraud detection, language extraction, paper summarization, tax processing pipeline, and more. The repository also provides access to test document files stored in a publicly-accessible Google Cloud Storage Bucket. Additionally, there are codelabs available for optical character recognition (OCR), form parsing, specialized processors, and managing Document AI processors. Community samples, like the PDF Annotator Sample, are also included. Contributions are welcome, and users can seek help or report issues through the repository's issues page. Please note that this repository is not an officially supported Google product and is intended for demonstrative purposes only.

Knowledge is a tool for saving, searching, accessing, exploring and chatting with all of your favorite websites, documents and files. Dive into a more interactive learning experience with Knowledge's new Chat feature! Engage in dynamic conversations with your Projects and Sources, leveraging the power of Large Language Models. The Chat feature is designed to transform the way you interact with your data, offering a more engaging and exploratory approach to learning. Unleash the power of context with the built-in Chromium browser. Transform your browsing into knowledge gathering effortlessly.

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.

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.

Dir-assistant is a tool that allows users to interact with their current directory's files using local or API Language Models (LLMs). It supports various platforms and provides API support for major LLM APIs. Users can configure and customize their local LLMs and API LLMs using the tool. Dir-assistant also supports model downloads and configurations for efficient usage. It is designed to enhance file interaction and retrieval using advanced language models.

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.

dwata is an open source desktop app designed to manage all your private data on your laptop, providing offline access, fast search capabilities, and organization features for emails, files, contacts, events, and tasks. It aims to reduce cognitive overhead in daily digital life by offering a centralized platform for personal data management. The tool prioritizes user privacy, with no data being sent outside the user's computer without explicit permission. dwata is still in early development stages and offers integration with AI providers for advanced functionalities.

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.

Onyx is an open-source Gen-AI and Enterprise Search tool that serves as an AI Assistant connected to company documents, apps, and people. It provides a chat interface, can be deployed anywhere, and offers features like user authentication, role management, chat persistence, and UI for configuring AI Assistants. Onyx acts as an Enterprise Search tool across various workplace platforms, enabling users to access team-specific knowledge and perform tasks like document search, AI answers for natural language queries, and integration with common workplace tools like Slack, Google Drive, Confluence, etc.

Coco AI is a unified search platform that connects enterprise applications and data into a single, powerful search interface. The COCO App allows users to search and interact with their enterprise data across platforms. It also offers a Gen-AI Chat for Teams tailored to team's unique knowledge and internal resources, enhancing collaboration by making information instantly accessible and providing AI-driven insights based on enterprise's specific data.

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.

EXO Private Search is a privacy-preserving search system based on MIT's Tiptoe paper. It allows users to search through data while maintaining query privacy, ensuring that the server never learns what is being searched for. The system converts documents into embeddings, clusters them for efficient searching, and uses SimplePIR for private information retrieval. It employs sentence transformers for embedding generation, K-means clustering for search optimization, and ensures that all sensitive computations happen client-side. The system provides significant performance improvements by reducing the number of PIR operations needed, enabling efficient searching in large document collections, and maintaining privacy while delivering fast results.

LEANN is an innovative vector database that democratizes personal AI, transforming your laptop into a powerful RAG system that can index and search through millions of documents using 97% less storage than traditional solutions without accuracy loss. It achieves this through graph-based selective recomputation and high-degree preserving pruning, computing embeddings on-demand instead of storing them all. LEANN allows semantic search of file system, emails, browser history, chat history, codebase, or external knowledge bases on your laptop with zero cloud costs and complete privacy. It is a drop-in semantic search MCP service fully compatible with Claude Code, enabling intelligent retrieval without changing your workflow.

Haiku RAG is a Retrieval-Augmented Generation (RAG) library that utilizes LanceDB as a local vector database. It supports semantic and full-text search, hybrid search with Reciprocal Rank Fusion, multiple embedding and QA providers, default search result reranking, question answering, file monitoring, and various file formats. It can be used via CLI or Python API, and can serve as tools for AI assistants like Claude Desktop. The library offers features for document management and search, with detailed documentation available.

myaidrive.com plugin to search across all your dive documents.

Your very own Elasticsearch Copilot

Japanese OCR and text reader　日本語OCR　読み取り失敗文字の修復機能つき。テスト中

I create structured filenames for PDFs from OCR text.

Chat with all the knowledge, documents and collections contributed to the OpenIndex search engine.

I search Lambeth's planning site to provide links to policies and documents.

Summarize about the topic based on scientifically sound information

Discover the perfect GPTs tailored just for you from an astounding selection of 89527 models! Dive in and enjoy the magic! The GPT repository will update continuously!

Teaches you how to use the Metaphor Search API using our Python SDK

I am the GPT search engine

According to the relevant documents, what questions may arise during the job interview?

Top custom GPTs. Real-Time GPTs Expert Search. Enter search terms as in examples.

Primeiro robô assistente jurídico brasileiro especializado em busca de jurisprudência. - Para ser utilizado por advogados e profissionais jurídicos que buscam um assistente jurídico baseado em Inteligência Artificial.

اداة بحث متقدمة في نظام الشركات الجديد ولائحته التنفيذية

Ruby doc searcher for Ruby reference and Rurema

Data trend analysis expert in cannabis, also skilled in image and data analysis, document generation, and web search.

Search, Play and Share cool GPTs

Liferay expert, answering queries with official sources, including GitHub.

Your Langchain codebase assistant.

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