Best AI tools for< Manage Documents >

Slite is an AI-powered knowledge base application designed to streamline knowledge management within companies. It offers a collaborative platform where teams can create, manage, and access company information efficiently. With features like AI-driven insights, document verification, and smart summarization, Slite aims to provide a single source of truth for all types of knowledge. The application is trusted by over 200,000 leading companies and offers solutions for knowledge base, project documentation, employee onboarding, and team meetings.

Google Workspace is a suite of business apps and collaboration tools designed to enhance productivity and streamline communication for individuals, small businesses, enterprises, and frontline workers. With popular applications like Gmail, Calendar, Drive, Meet, and more, Google Workspace offers AI-powered features through Gemini for Workspace to boost efficiency and facilitate seamless collaboration. The platform caters to various industries and departments, providing a comprehensive solution for modern work environments.

Scanner Go is a free PDF tool that offers easy-to-use scanning and conversion features. Users can quickly scan various types of documents, images, and books, and convert them to PDF format. The tool also provides OCR technology for extracting text from PDFs and images, as well as options for managing, editing, printing, and sharing documents. With cloud storage access, users can securely store and access their documents from any device. Scanner Go aims to simplify the digitization process and enhance productivity.

Blizzy AI is a powerful tool that allows users to have meaningful conversations with their data. Users can chat with any file, browse the internet securely, and create a personalized knowledge vault within the platform. With features like bulk uploading knowledge, document management, and ready-made prompts, Blizzy AI enhances marketing strategies, content creation, and online interactions. The tool prioritizes privacy and security by ensuring that user data is never used for training purposes and offering complete control over chat history.

AskYourPDF is an AI-powered platform that helps users interact with, summarize, and manage PDF documents. It allows users to extract insights quickly, chat with documents, and generate clear, concise summaries. Trusted by leading universities worldwide, the application offers upgraded features to engage effortlessly and gain insights fast. Users can start conversations with multiple documents, ask questions, receive instant answers, and understand complex information. The tool also helps maintain a well-organized library for all documents, enhancing productivity and eliminating clutter.

The website offers an AI-powered content management, workflow, and collaboration platform called Box. It provides end-to-end data protection, automation of processes, visual collaboration tools, e-signature capabilities, and integration with thousands of apps. Box AI unlocks the value of content by providing insights, creating content quickly, and aiding in decision-making. The platform also offers developer tools, IT administration controls, and content migration services.

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.

EnConvo is a seamless AI assistant that provides access to AI at any time, within any software. It offers convenient and efficient writing, coding, and various other tasks. With features like Plugin System, Vision Chat, Image Generation, and more, EnConvo aims to enhance productivity and streamline workflows. The application is designed to empower users with the power of AI for managing tasks and resources effectively.

Responsive.ai is a foundational software designed for financial advice, aimed at maximizing advisor productivity through workflow automation, client engagement tools, and AI-powered insights. The platform offers solutions like Prioritize for enhancing relationships and revenue growth, Enable for managing documents and integrations, and Dash for creating seamless digital experiences. Responsive empowers advisors with an API-first ecosystem to deliver advice-led financial services and elevate enterprise value.

EasyFill.ai is an AI-powered platform offering digital forms for modern businesses. It leverages cutting-edge technology like ChatGPT for AI-assisted form generation, automates form setup, provides cloud-based system access, enables payment collection through Stripe, and offers features for linking forms to websites and receiving responses via email. The platform aims to streamline administrative processes and enhance productivity by embracing the digital age with advanced AI assistance and secure e-signatures.

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.

R2R (RAG to Riches) is a fast and efficient framework for serving high-quality Retrieval-Augmented Generation (RAG) to end users. The framework is designed with customizable pipelines and a feature-rich FastAPI implementation, enabling developers to quickly deploy and scale RAG-based applications. R2R was conceived to bridge the gap between local LLM experimentation and scalable production solutions. **R2R is to LangChain/LlamaIndex what NextJS is to React**. A JavaScript client for R2R deployments can be found here. ### Key Features * **🚀 Deploy** : Instantly launch production-ready RAG pipelines with streaming capabilities. * **🧩 Customize** : Tailor your pipeline with intuitive configuration files. * **🔌 Extend** : Enhance your pipeline with custom code integrations. * **⚖️ Autoscale** : Scale your pipeline effortlessly in the cloud using SciPhi. * **🤖 OSS** : Benefit from a framework developed by the open-source community, designed to simplify RAG deployment.

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.

Redbox Copilot is a retrieval augmented generation (RAG) app that uses GenAI to chat with and summarise civil service documents. It increases organisational memory by indexing documents and can summarise reports read months ago, supplement them with current work, and produce a first draft that lets civil servants focus on what they do best. The project uses a microservice architecture with each microservice running in its own container defined by a Dockerfile. Dependencies are managed using Python Poetry. Contributions are welcome, and the project is licensed under the MIT License.

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.

Redbox is a retrieval augmented generation (RAG) app that uses GenAI to chat with and summarise civil service documents. It increases organisational memory by indexing documents and can summarise reports read months ago, supplement them with current work, and produce a first draft that lets civil servants focus on what they do best. The project uses a microservice architecture with each microservice running in its own container defined by a Dockerfile. Dependencies are managed using Python Poetry. Contributions are welcome, and the project is licensed under the MIT License. Security measures are in place to ensure user data privacy and considerations are being made to make the core-api secure.

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.

Verbis AI is a secure and fully local AI assistant for MacOS that indexes data from various SaaS applications securely on the user's system. It provides a single interface powered by GenAI models to query and manage information. Users can connect Verbis to apps like Google Drive, Outlook, Gmail, and Slack, and use it as a chatbot to search across their data without data leaving their device. The tool is powered by Ollama and Weaviate, utilizing models like Mistral 7B, ms-marco-MiniLM-L-12-v2, and nomic-embed-text. Verbis AI requires Apple Silicon Mac (m1+) and has minimal system resource utilization requirements.

DB-GPT is a personal database administrator that can solve database problems by reading documents, using various tools, and writing analysis reports. It is currently undergoing an upgrade. **Features:** * **Online Demo:** * Import documents into the knowledge base * Utilize the knowledge base for well-founded Q&A and diagnosis analysis of abnormal alarms * Send feedbacks to refine the intermediate diagnosis results * Edit the diagnosis result * Browse all historical diagnosis results, used metrics, and detailed diagnosis processes * **Language Support:** * English (default) * Chinese (add "language: zh" in config.yaml) * **New Frontend:** * Knowledgebase + Chat Q&A + Diagnosis + Report Replay * **Extreme Speed Version for localized llms:** * 4-bit quantized LLM (reducing inference time by 1/3) * vllm for fast inference (qwen) * Tiny LLM * **Multi-path extraction of document knowledge:** * Vector database (ChromaDB) * RESTful Search Engine (Elasticsearch) * **Expert prompt generation using document knowledge** * **Upgrade the LLM-based diagnosis mechanism:** * Task Dispatching -> Concurrent Diagnosis -> Cross Review -> Report Generation * Synchronous Concurrency Mechanism during LLM inference * **Support monitoring and optimization tools in multiple levels:** * Monitoring metrics (Prometheus) * Flame graph in code level * Diagnosis knowledge retrieval (dbmind) * Logical query transformations (Calcite) * Index optimization algorithms (for PostgreSQL) * Physical operator hints (for PostgreSQL) * Backup and Point-in-time Recovery (Pigsty) * **Continuously updated papers and experimental reports** This project is constantly evolving with new features. Don't forget to star ⭐ and watch 👀 to stay up to date.

This repository contains a Rest-Backend for a Conversational Agent that allows embedding documents, semantic search, QA based on documents, and document processing with Large Language Models. It uses Aleph Alpha and OpenAI Large Language Models to generate responses to user queries, includes a vector database, and provides a REST API built with FastAPI. The project also features semantic search, secret management for API keys, installation instructions, and development guidelines for both backend and frontend components.

Chat with your data using OpenAI and AI Search. This solution accelerator uses an Azure OpenAI GPT model and an Azure AI Search index generated from your data, which is integrated into a web application to provide a natural language interface, including speech-to-text functionality, for search queries. Users can drag and drop files, point to storage, and take care of technical setup to transform documents. There is a web app that users can create in their own subscription with security and authentication.

The `unstructured` library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of `unstructured` revolve around streamlining and optimizing the data processing workflow for LLMs. `unstructured` modular functions and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and efficient in transforming unstructured data into structured outputs.

doc2plan is a browser-based application that helps users create personalized learning plans by extracting content from documents. It features a Creator for manual or AI-assisted plan construction and a Viewer for interactive plan navigation. Users can extract chapters, key topics, generate quizzes, and track progress. The application includes AI-driven content extraction, quiz generation, progress tracking, plan import/export, assistant management, customizable settings, viewer chat with text-to-speech and speech-to-text support, and integration with various Retrieval-Augmented Generation (RAG) models. It aims to simplify the creation of comprehensive learning modules tailored to individual needs.

JamAI Base is an open-source platform integrating SQLite and LanceDB databases with managed memory and RAG capabilities. It offers built-in LLM, vector embeddings, and reranker orchestration accessible through a spreadsheet-like UI and REST API. Users can transform static tables into dynamic entities, facilitate real-time interactions, manage structured data, and simplify chatbot development. The tool focuses on ease of use, scalability, flexibility, declarative paradigm, and innovative RAG techniques, making complex data operations accessible to users with varying technical expertise.

HuggingFists is a low-code data flow tool that enables convenient use of LLM and HuggingFace models. It provides functionalities similar to Langchain, allowing users to design, debug, and manage data processing workflows, create and schedule workflow jobs, manage resources environment, and handle various data artifact resources. The tool also offers account management for users, allowing centralized management of data source accounts and API accounts. Users can access Hugging Face models through the Inference API or locally deployed models, as well as datasets on Hugging Face. HuggingFists supports breakpoint debugging, branch selection, function calls, workflow variables, and more to assist users in developing complex data processing workflows.

RAGFlow is an open-source Retrieval-Augmented Generation (RAG) engine that combines deep document understanding with Large Language Models (LLMs) to provide accurate question-answering capabilities. It offers a streamlined RAG workflow for businesses of all sizes, enabling them to extract knowledge from unstructured data in various formats, including Word documents, slides, Excel files, images, and more. RAGFlow's key features include deep document understanding, template-based chunking, grounded citations with reduced hallucinations, compatibility with heterogeneous data sources, and an automated and effortless RAG workflow. It supports multiple recall paired with fused re-ranking, configurable LLMs and embedding models, and intuitive APIs for seamless integration with business applications.

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.

The serverless-rag-demo repository showcases a solution for building a Retrieval Augmented Generation (RAG) system using Amazon Opensearch Serverless Vector DB, Amazon Bedrock, Llama2 LLM, and Falcon LLM. The solution leverages generative AI powered by large language models to generate domain-specific text outputs by incorporating external data sources. Users can augment prompts with relevant context from documents within a knowledge library, enabling the creation of AI applications without managing vector database infrastructure. The repository provides detailed instructions on deploying the RAG-based solution, including prerequisites, architecture, and step-by-step deployment process using AWS Cloudshell.

FoundationaLLM is a platform designed for deploying, scaling, securing, and governing generative AI in enterprises. It allows users to create AI agents grounded in enterprise data, integrate REST APIs, experiment with large language models, centrally manage AI agents and assets, deploy scalable vectorization data pipelines, enable non-developer users to create their own AI agents, control access with role-based access controls, and harness capabilities from Azure AI and Azure OpenAI. The platform simplifies integration with enterprise data sources, provides fine-grain security controls, load balances across multiple endpoints, and is extensible to new data sources and orchestrators. FoundationaLLM addresses the need for customized copilots or AI agents that are secure, licensed, flexible, and suitable for enterprise-scale production.

Sofistikert FAU-assistent for dokumenthåndtering, møte-organisering med integrert skolehelsetjenesten som kilde til veil for foreldre om barnas velferd (mobbing, kroppspress osv). Auto-generering av referater & agendaer vha 'speech2text'-funksjon med strenge GDPR protokoller for opptak-sletting ++

Guides USAF Airmen in EPB document creation, utilizing provided military resources.

Schnell und zuverlässig Vertragsmuster aufsetzen: Der Assistent hilft, die richtigen Daten für den jeweiligen Vertrag zu erfassen und anzupassen. Damit können benutzerdefinierte Verträge präzise und effizient erstellt werden.

Master in drafting general service agreement (Powered by LegalNow, ai.legalnow.xyz)

Spécialiste ISO 15189 et documents COFRAC pour les conseils en qualité des laboratoires médicaux.

Guides the organization in creating comprehensive project closure documents.

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

Strata management expert referencing NSW Strata Act and other related documents

Transforms code into legal-style documents with precision.

Helps users manage and preserve family heirlooms with empathy and practical advice.

DocFlow is designed to assist in the creation and management of business-related documents. The assistant should leverage its knowledge base and language processing capabilities to provide detailed guidance, draft documents, and offer insights specific to business ventures.

Your go-to assistant for construction bidding. Upload photos or documents and start estimating!

I'll analyze academic and scientific articles and create state-of-the-art documents

A GST rate calculator for goods and services, using provided documents for accuracy.

Expert in construction project management and document analysis.

Helps annotate project guidelines.

ASESOR DE POLÍTICA PÚBLICA DE TELECOMUNICACIONES 2023 - 2025

Connect and interact with your Google accounts. Organize, retrieve, and manipulate data with A.I

Meet LexAid GPT: Your AI-powered legal assistant. With advanced document analysis, secure handling, and expert legal knowledge, it streamlines case review and drafting, enhancing efficiency and accuracy in your legal practice

AI Assistant for Legal CPD & ERP System Security