Best AI tools for< Centralize Knowledge >

WorkHub is a privacy-focused Conversational AI platform that centralizes knowledge management and enables automations across organizations. It offers versatile conversational bots and tools to provide insights, knowledge, and data-driven actions. With seamless integration capabilities, WorkHub can be connected to any database and applications, ensuring comprehensive access to information.

Whale is an AI-powered software designed to help businesses document their standard operating procedures, policies, and internal company knowledge. It streamlines the process of onboarding, training, and growing teams by leveraging AI technology to assist in creating and organizing documentation. Whale offers features such as AI-assisted SOP and process documentation, automated training flows, a single source of truth for knowledge management, and an AI assistant named Alice to help with various tasks. The platform aims to systemize and scale businesses by providing a user-friendly interface and dedicated support services.

Passarel is an AI tool designed to simplify teammate onboarding by developing bespoke GPT-like models for employee interaction. It centralizes knowledge bases into a custom model, allowing new teammates to access information efficiently. Passarel leverages various integrations to tailor language models to team needs, handling contradictions and providing accurate information. The tool works by training models on chosen knowledge bases, learning from data and configurations provided, and deploying the model for team use.

Notion is an AI-powered workspace that serves as a connected workspace for wiki, docs, and projects. It offers a simple and powerful platform to centralize knowledge, manage projects, and streamline workflows. Notion integrates AI assistance to help users organize and optimize their work processes efficiently. With features like template gallery, calendar integration, and customizable building blocks, Notion caters to teams of all sizes and functions, from startups to enterprises. The platform aims to enhance productivity and collaboration by providing a versatile and adaptive workspace for users to turn ideas into action.

Domino Data Lab is an enterprise AI platform that enables users to build, deploy, and manage AI models across any environment. It fosters collaboration, establishes best practices, and ensures governance while reducing costs. The platform provides access to a broad ecosystem of open source and commercial tools, and infrastructure, allowing users to accelerate and scale AI impact. Domino serves as a central hub for AI operations and knowledge, offering integrated workflows, automation, and hybrid multicloud capabilities. It helps users optimize compute utilization, enforce compliance, and centralize knowledge across teams.

Bloc is an AI-powered chat assistant application that enables users to create and share chatbots effortlessly. It helps in enhancing sales and support experiences by providing exceptional customer support, automating repetitive tasks, and integrating with various apps like Notion, Google Drive, Figma, and Slack. With Bloc, users can centralize their knowledge base, automate frequently asked questions, and revolutionize team productivity through Q/A. The application is designed to empower businesses by leveraging AI chatbots to increase sales, boost customer satisfaction, and streamline operations.

GitBook is a knowledge management platform that helps engineering teams centralize, access, and add to their technical knowledge in the tools they use every day. With GitBook, teams can capture knowledge from conversations, code, and meetings, and turn it into useful, readable documentation. GitBook also offers a variety of features to help teams collaborate on documentation, including a branch-based workflow, real-time editing, and user permissions.

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 such as AI workplace assistant, unified knowledge hub, multimodal AI, custom GPTs, and a no-code AI chatbot builder. GoSearch aims to connect internal knowledge, unlock insights, and streamline workflows for various departments like Engineering, IT, HR, Product, and Marketing. The platform provides enterprise-grade security measures and integrates with over 100 apps and data connectors to enhance search capabilities and knowledge management.

Crisp is an all-in-one business messaging platform designed for startups and small to medium-sized businesses. It offers features such as a website chat widget, chatbot builder, CRM, shared inbox, ticketing system, and campaign management. With Crisp, businesses can automate repetitive tasks, improve customer engagement, and provide personalized customer support. The platform centralizes conversations, data, and knowledge in one place, making it easier for teams to collaborate and offer exceptional customer service.

Nuclia is an AI-powered search engine that helps businesses unlock the value of their unstructured data. With Nuclia, businesses can quickly and easily search, analyze, and extract insights from their data, regardless of its format or location. Nuclia's AI capabilities include natural language processing, machine learning, and deep learning, which allow it to understand the context and meaning of data, and to generate human-like text and code. Nuclia is used by businesses of all sizes across a variety of industries, including financial services, healthcare, manufacturing, and retail.

Guru is an AI-powered enterprise search, intranet, and wiki platform that helps companies connect their collective knowledge and streamline information retrieval. It offers comprehensive features such as AI-driven company knowledge search, customizable employee engagement hub, automated centralized knowledge base, and integrations with existing workflows. Guru's zero-data retention policy, private AI models, and role-based access control ensure data security and privacy. The platform caters to various industries and teams, providing tailored solutions for human resources, operations, IT, product engineering, customer support, sales, marketing, and learning & development.

RquestR is an AI-powered knowledge management platform designed specifically for procurement professionals. It streamlines projects, enables instant answers retrieval, and facilitates informed decision-making. The platform offers features such as intelligent document querying, automated Q&A generation, and knowledge base building. RquestR helps in reducing response time by up to 40% and enhancing decision-making accuracy by 30%. It provides a centralized knowledge hub for managing RFPs, security questionnaires, and Q&As, all while ensuring enterprise-grade security. The platform revolutionizes the procurement process by leveraging advanced AI for lightning-fast information retrieval, accurate responses, and adaptive learning.

Petal is a document analysis platform powered by generative AI technology. It allows users to chat with their documents, providing fully sourced and reliable answers by linking to their own knowledge bases. Users can train AI on their documents to support their work, ensuring centralized knowledge management and document synchronization. Petal offers features such as automatic metadata extraction, file deduplication, and collaboration tools to enhance productivity and streamline workflows for researchers, faculty, and industry experts.

Leena AI is a Gen AI employee assistant that reduces IT, HR, Finance tickets. It guarantees a 70% self-service ratio in the contract. Leena AI centralizes knowledge that is scattered across the enterprise, making information easy to find right on chat with a simple query. The knowledge is auto-updated when changes are made, so your employees always get support that is both relevant and accurate. Leena AI integrates with all knowledge base systems within your enterprise from day one, eliminating the need for any consolidation or migration effort across the knowledge base systems. The work assistant tailors responses to employee queries based on their role, team and access level which boosts employee experience while adhering to security protocols and preventing unauthorized access to information. Leena AI analyzes historically closed tickets and learns from their resolutions to create knowledge articles that can prevent similar tickets from being raised again. Leena AI breaks down large policy documents and knowledge articles into consumable snippets so the responses are sharper and more specific to the employee’s query.

Infobox.ai is a personal AI Assistant application that helps users make sense of their information by providing a centralized platform for data management. Users can create and customize their AI Assistant, import content to a private AI database, collaborate on information sharing, and optimize their assistant through retraining. The application focuses on streamlining customer support, simplifying data analysis, and promoting knowledge sharing while prioritizing data security and integrations with other tools. Elevux, the creators of Infobox.ai, aim to reshape the digital landscape by offering an intuitive AI tool for business data handling.

Yext is a leading digital presence platform that enables multi-location brands to deliver consistent, accurate, and engaging experiences to customers across various digital channels. With features like content organization for AI, social amplification, analytics, and more, Yext empowers brands to optimize their digital presence and enhance customer engagement. By leveraging AI technology, Yext helps businesses automate workflows, make data-driven marketing decisions, and deliver personalized interactions at scale. The platform offers a centralized solution for managing all digital marketing channels, integrating with existing solutions, and accelerating cross-channel insights.

Rewatch is an AI-powered meeting assistant and video hub that helps teams optimize their meeting processes, enhance collaboration, and improve productivity. It offers features such as meeting recording, screen recording, AI meeting notes, video hub, and integrations with other tools. Rewatch aims to eliminate unnecessary meetings, reduce costs, and streamline communication within organizations. It provides a centralized platform for storing meeting videos, notes, and discussions, along with AI-generated summaries and action items. With Rewatch, teams can leverage conversation intelligence, establish a company knowledge base, and enhance decision-making processes.

FuseBase (Formerly Nimbus) is an online collaboration tool designed for businesses to enhance team collaboration and streamline project management. The platform offers features such as client collaboration, project management, knowledge management, data collection, and white-label solutions. FuseBase also integrates AI technology to provide users with an AI assistant for CRM, sales, marketing, and step-by-step guides. The application aims to improve client interactions, project efficiency, and overall business productivity by offering a centralized workspace for seamless collaboration and communication.

Echobase is an AI tool designed to easily integrate AI into businesses by allowing teams to query, create, and analyze data from their files. It offers advanced AI models tailored to specific business needs, enabling the creation of AI agents capable of tasks like basic Q&A, data analysis, and content creation. Echobase provides a centralized workspace for uploading and querying organizational knowledge bases in real-time, along with features for collaboration and role management. The tool prioritizes data security through robust encryption, API usage, and user-controlled data access.

Findr is an AI-powered search assistant designed for teams to streamline information retrieval and enhance productivity. It offers a centralized platform to search, access, and manage data across various workplace apps. By leveraging AI technology, Findr eliminates repetitive tasks, enhances data search efficiency, and provides instant answers to user queries. With a user-friendly interface and robust security measures, Findr aims to revolutionize the way teams interact with their data and applications.

DeepEval is a simple-to-use, open-source LLM evaluation framework specialized for unit testing LLM outputs. It incorporates various metrics such as G-Eval, hallucination, answer relevancy, RAGAS, etc., and runs locally on your machine for evaluation. It provides a wide range of ready-to-use evaluation metrics, allows for creating custom metrics, integrates with any CI/CD environment, and enables benchmarking LLMs on popular benchmarks. DeepEval is designed for evaluating RAG and fine-tuning applications, helping users optimize hyperparameters, prevent prompt drifting, and transition from OpenAI to hosting their own Llama2 with confidence.

Algolisted is a pioneering platform dedicated to algorithmic problem-solving, offering a centralized hub for a diverse array of algorithmic challenges. It provides an immersive online environment for programmers to enhance their skills through Data Structures and Algorithms (DSA) sheets, academic progress tracking, resume refinement with OpenAI integration, adaptive testing, and job opportunity listings. The project is built on the MERN stack, Flask, Beautiful Soup, and Selenium,GEN AI, and deployed on Firebase. Algolisted aims to be a reliable companion in the pursuit of coding knowledge and proficiency.

Bittensor is an internet-scale neural network that incentivizes computers to provide access to machine learning models in a decentralized and censorship-resistant manner. It operates through a token-based mechanism where miners host, train, and procure machine learning systems to fulfill verification problems defined by validators. The network rewards miners and validators for their contributions, ensuring continuous improvement in knowledge output. Bittensor allows anyone to participate, extract value, and govern the network without centralized control. It supports tasks such as generating text, audio, images, and extracting numerical representations.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

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.

RAFT (Reusable Accelerated Functions and Tools) is a C++ header-only template library with an optional shared library that contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

AgentScope is a multi-agent platform designed to empower developers to build multi-agent applications with large-scale models. It features three high-level capabilities: Easy-to-Use, High Robustness, and Actor-Based Distribution. AgentScope provides a list of `ModelWrapper` to support both local model services and third-party model APIs, including OpenAI API, DashScope API, Gemini API, and ollama. It also enables developers to rapidly deploy local model services using libraries such as ollama (CPU inference), Flask + Transformers, Flask + ModelScope, FastChat, and vllm. AgentScope supports various services, including Web Search, Data Query, Retrieval, Code Execution, File Operation, and Text Processing. Example applications include Conversation, Game, and Distribution. AgentScope is released under Apache License 2.0 and welcomes contributions.

YGO Agent is a project focused on using deep learning to master the Yu-Gi-Oh! trading card game. It utilizes reinforcement learning and large language models to develop advanced AI agents that aim to surpass human expert play. The project provides a platform for researchers and players to explore AI in complex, strategic game environments.

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.

This repository maintains a list of research papers on LLM-based Multi-Agents, categorized into five main streams: Multi-Agents Framework, Multi-Agents Orchestration and Efficiency, Multi-Agents for Problem Solving, Multi-Agents for World Simulation, and Multi-Agents Datasets and Benchmarks. The repository also includes a survey paper on LLM-based Multi-Agents and a table summarizing the key findings of the survey.

Awesome Algorand is a curated list of resources related to the Algorand Blockchain, including official resources, wallets, blockchain explorers, portfolio trackers, learning resources, development tools, DeFi platforms, nodes & consensus participation, subscription management, security auditing services, blockchain bridges, oracles, name services, community resources, Algorand Request for Comments, metrics and analytics services, decentralized voting tools, and NFT marketplaces. The repository provides a comprehensive collection of tools, tutorials, protocols, and platforms for developers, users, and enthusiasts interested in the Algorand ecosystem.

LSP-AI is an open source language server designed to enhance software engineers' productivity by integrating AI-powered functionality into various text editors. It serves as a backend for completion with large language models and offers features like unified AI capabilities, simplified plugin development, enhanced collaboration, broad compatibility with editors supporting Language Server Protocol, flexible LLM backend support, and commitment to staying updated with the latest advancements in LLM-driven software development. The tool aims to centralize open-source development work, provide a collaborative platform for developers, and offer a future-ready solution for AI-powered assistants in text editors.

Synmetrix is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube.js to consolidate metrics from various sources and distribute them downstream via a SQL API. Use cases include data democratization, business intelligence and reporting, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

Synmetrix (prev. MLCraft) is an open source data engineering platform and semantic layer for centralized metrics management. It provides a complete framework for modeling, integrating, transforming, aggregating, and distributing metrics data at scale. Key features include data modeling and transformations, semantic layer for unified data model, scheduled reports and alerts, versioning, role-based access control, data exploration, caching, and collaboration on metrics modeling. Synmetrix leverages Cube (Cube.js) for flexible data models that consolidate metrics from various sources, enabling downstream distribution via a SQL API for integration into BI tools, reporting, dashboards, and data science. Use cases include data democratization, business intelligence, embedded analytics, and enhancing accuracy in data handling and queries. The tool speeds up data-driven workflows from metrics definition to consumption by combining data engineering best practices with self-service analytics capabilities.

OpenModelDB is a community-driven database of AI upscaling models, providing a centralized platform for users to access and compare various models. The repository contains a collection of models and model metadata, facilitating easy exploration and evaluation of different AI upscaling solutions. With a focus on enhancing the accessibility and usability of AI models, OpenModelDB aims to streamline the process of finding and selecting the most suitable models for specific tasks or projects.

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.