Best Knowledge Base Software - Page 15

HelpGuides

HelpGuides is a modern knowledge management platform built for AI-powered digital experiences.

Helppier

The solution is simple: if online users (customer or employees) are lost on a website, platform or web app, with Helppier, they can access the information they need right when need it, before contacting support. Helppier is a UX tool that allows creating interactive user guides for web platforms, without any coding. It allows creating product tours and contextual tooltips, integrating Knowledge Bases, and even tracking performance. Build a help center without leaving your website.

Average Rating: 3.8/5.0

Total Reviews: 6

HEYSQUID

Heysquid is an advanced content management and documentation platform developed by 4D CONCEPT. It offers solutions for creating, publishing, and distributing various types of information, including texts, images, videos, and presentations. The platform supports modular and structured documentation, editorial systems for cross-media communications, and centralized knowledge management. Heysquid is customizable to meet specific industry needs and includes extensions like Heysquid DITA, Heysquid PORTAL, and Heysquid NEWS for different applications such as documentation standards, custom portals, and cross-media publication. For more details, visit our website.

Average Rating: 3.8/5.0

Total Reviews: 2

Hjarni

Hjarni is an AI-native knowledge base with a built-in MCP server. Give your AI a memory. Your AI forgets everything between sessions. So you keep re-explaining your stack, your project, your decisions. Hjarni fixes that. Save your notes once. Claude and ChatGPT read them, follow your instructions, and remember what you told them, across every conversation. It's simple on purpose. Notes, folders, tags. Written in Markdown. No databases, no kanban, no page builders. We left features out on purpose. The constraint is the feature. The loop is simple. Research in your AI. Save to Hjarni. Act. Repeat. Write once. You both remember. Built for developers, founders, researchers, writers, and travelers who use AI every day and want it to actually know what they're working on. Free to start. No credit card required. No trials, no hidden fees.

HUB.KI

i2i

SAI Global i2i is a cloud-based, customizable Standards Management solution that allows you to easily manage, store and share the most up-to-date Standards across your organization. Create customized collections: Access over 1 million Standards from 300+ publishers including ISO, ASME, ANSI, IEEE, NFPA, IEC, IPC, SAE, AAMI and more. Create customized collections of Standards that suit your projects, departments and users. Optimize your subscription: Utilize in-depth reporting on user and document usage to track the Standards you use and adjust your collections to suit, only paying for what you need. Stay up-to-date and compliant: Know you're always accessing the most current Standards to reduce compliance risks and receive account alerts when they change. Enhance collaboration and efficiency: Use powerful search capabilities to find Standards quickly, add bookmarks and share notes with relevant team members.

Implicit

Implicit is an AI-powered support and knowledge management software solution that helps companies automate complex support workflows, scale product expertise, and deliver accurate answers via both agent-assist and self-service experiences. Built for organizations with intricate product ecosystems (such as B2B SaaS, cybersecurity, manufacturing, electronics, product companies, aviation, etc.) Implicit uses advanced AI techniques and domain-specific reasoning to deliver contextually relevant answers to technical questions. It serves technical support, customer success, and knowledge management teams that need to reduce time-to-resolution, increase consistency in responses, and improve customer experience without scaling headcount. Implicit can be deployed in two modes: - Implicit Support (Copilot): Assists human agents with real-time, AI-suggested responses during live support sessions. - Implicit Knowledge (Chatbot): Enables customers to self-serve via a conversational AI interface that understands your product documentation. Key features and value propositions include: - GraphRAG AI Engine: Combines structured and unstructured data to understand relationships across products, issues, and resolutions. - Multi-Source Knowledge Integration: Ingests manuals, support docs, tickets, wikis, and more—without requiring manual tagging or restructuring. - Configurable Copilot and Chatbot Interfaces: Deployable as agent-assist tools in CRMs or as standalone self-service experiences. - Query Analytics and Feedback Loops: Provides insight into what users are asking and where knowledge gaps exist. - Scalable and Secure Infrastructure: Designed for enterprise environments with role-based access controls, data isolation, and robust query limits. The onboarding process is structured for rapid time-to-value, with most customers launching within hours. In just 10 days, teams can: - Upload documentation, benchmark chatbot accuracy, and align on their support use case (Day 0) - Refine product taxonomies and accuracy via feedback and edge case testing (Days 1–5) - Fully launch across teams and channels with >99% accuracy (Day 10) Customers typically experience: - 99%+ product question accuracy - 60% deflection of inbound support calls - 3× improvement in accuracy over generic LLMs - 20%+ increase in CSAT within weeks - Average platform launch time under 2 hours Implicit is suited for mid-sized to enterprise organizations aiming to scale support without scaling headcount.

ISELO

ISELO is your knowledge companion! It assists you to: 1. Collect Knowledge: Keep interesting content found on the web or upload your documents or create memos and get back to that whenever you want 2. Manage Knowledge: Organize the saved content neatly with tags & lists or archive when done with the knowledge piece 3. Retrieve Knowledge: Find any saved knowledge piece using typo-tolerant, blazing-fast search in content title, tags or even in content details. All content related to a keyword can also be filtered using tags. 4. Collaborate on Knowledge: Share & have a focused discussion with your teammates on the shared knowledge pieces. Also, read recommended content by your knowledge buddies

iSportz Learning Management System

JSPWiki

Apache JSPWiki is a robust, open-source WikiWiki engine designed around standard Java Enterprise Edition components, including Java, servlets, and JSP. It offers a comprehensive platform for collaborative content creation and management, catering to both individual and organizational needs. Key Features and Functionality: - Dual Syntax Support: Supports both JSPWiki and Markdown syntaxes, with the flexibility to integrate additional ones. - File Attachments: Allows users to attach files directly to wiki pages, enhancing content richness. - Template Support: Provides customizable templates to maintain consistent page layouts and designs. - Flexible Data Storage: Offers a choice between two WikiPage Providers, with the capability to develop and integrate new ones. - Advanced Search Capabilities: Supports multiple Search Providers, enabling efficient content retrieval. - Granular Security Controls: Features fine-grained authorization, authentication, and Access Control Lists that are straightforward to configure. - Extensible Plugin and Filter Interfaces: Facilitates easy integration of plugins and page filters to extend functionality. - UTF-8 Support: Ensures compatibility with a wide range of character sets for internationalization. - JSP-Based Architecture: Leverages JSP for dynamic content rendering and customization. - Simplified Installation: Designed for an easy installation process to get users up and running quickly. - Page Locking Mechanism: Prevents editing conflicts by locking pages during edits. - Multiple Wiki Support: Enables the management of multiple wikis within a single installation. - Custom User Preferences: Allows users to personalize their wiki experience through configurable settings. Apache JSPWiki addresses the need for a versatile and user-friendly wiki platform that integrates seamlessly with existing Java-based infrastructures. By offering extensive customization options, robust security features, and support for multiple syntaxes, it empowers users to create, manage, and collaborate on content effectively. Its open-source nature ensures continuous improvement and adaptability to evolving user requirements.

Kandbe

Kandbe is a managed knowledge base software solution that helps organizations provide internal IT support by supplying a pre-written library of professional help guides. It is a fully managed, cloud-based platform designed specifically for IT teams. Unlike traditional knowledge base software that provides an empty document editor, Kandbe comes with a comprehensive, growing library of professionally written and maintained support guides for common business software. This unique "content-included" approach allows organizations to deploy a complete internal help center in minutes, empowering employees with self-service solutions and freeing IT teams from the time-consuming task of creating and updating documentation. The platform's audience includes internal IT teams, helpdesk staff, and Managed Service Providers (MSPs) who support businesses of all sizes. Managed Content Library: Kandbe includes a comprehensive collection of professionally written support articles. All content is automatically kept up-to-date by Kandbe's team of IT professionals. Custom Branding and Personalization: Administrators can tailor the help center’s appearance with their company’s logo, branding, and specific IT contact details to provide a trusted and seamless user experience. User-Focused Interface: The platform features a clean, search-driven interface optimized for quick information retrieval. It is designed for end-users to find answers efficiently without navigating complex menus. Rapid Deployment: As a cloud-based platform with pre-built content, a complete help center can be launched across an organization in a matter of minutes. Kandbe's library of professional, standardized guides helps reduce ticket time-to-closure by giving support staff instant, expert-written articles to share, resolving issues in minutes. By deflecting common tickets and accelerating resolutions, the platform lowers operational support costs and boosts overall IT efficiency. This allows the business to reallocate valuable technical resources away from repetitive troubleshooting and toward strategic projects that drive growth.

KB2B

KB2B is an AI powered knowledge management platform built for fast growing SaaS companies and digital consultancies. Unlike traditional tools that simply store and index static content, KB2B reasons over dynamic, multi source information, meetings, documents, and AI led interviews, turning scattered inputs into verified, connected company knowledge. Every fact extracted from a meeting, a document, or a structured AI interview receives a POT Score, an explicit certainty rating from 0.0 to 1.0. Contradictions between sources are detected automatically instead of quietly coexisting, and every fact is linked to related facts through a live knowledge graph, showing how decisions, risks, and context connect across the organization. Scout, KB2B's first AI agent, answers questions by reading the most relevant facts in the knowledge base, gathering external context when needed, and returning insights with visible confidence scores and traceable citations back to the original source, meeting, document, or interview. There is no black box, every answer can be verified. KB2B captures knowledge from three sources: meeting recordings across Zoom, Google Meet, and Microsoft Teams, or imported transcripts from Granola, Otter, and Fireflies, any document format including PDF, Word, Excel, PowerPoint, and Markdown, and structured AI led interviews for brainstorming, retrospectives, and problem solving. Built on SciPot, a memory infrastructure layer purpose built for AI agents, KB2B is designed for teams where decisions and context change weekly, not once a quarter, roles like Chief of Staff, Head of Operations, and Head of Product at scaling companies. Available as a desktop app for macOS and Windows, and as a web application. Plans range from Spark to Megamind, all include a 7 day free trial.

Kernal by Andes

Kernal by Andes turns AI-assisted work into a structured record your team owns, can inspect and can move. It is built for people who use ChatGPT and other AI interfaces for decisions, research, planning, sales and operations, but need the useful knowledge to survive beyond a chat thread. A conversation is more than a transcript. It contains people, organisations, projects, systems, deals, goals, decisions and commitments. Kernal reconstructs those elements as a proposed knowledge graph, connects them to their source material and lets users review proposed changes before they become part of the record. Teams can correct relationships, preserve decision context and export the accumulated record instead of rebuilding it when tools or providers change. Kernal combines graph memory, source-backed records, hybrid retrieval and a visual workspace. Teams can search across sources, wiki pages, memories, actions, people, organisations, deals, goals and projects from one place. The managed product includes source ingestion, multi-pass synthesis, deal and goal boards, project and systems registers, review workflows and composed views generated from real graph data. Kernal is designed for high-context work: founders, consultants, researchers, commercial teams and operators who need their AI to understand more than the latest prompt. Kernal does not replace human judgement. It proposes structure, and people decide what to keep. Each record keeps its source path and review state visible, so a colleague can see what was observed, what Kernal proposed and what a person accepted. This supports continuity, handovers and accountable AI-assisted work without pretending the software made the decision. Managed Kernal runs in AWS Europe. Andes has joined the AWS Partner Network Software Path. For managed deployments, onboarding and support, contact explore@andes.no.

Kibela

Kiori

Kiori is an AI Knowledge Workspace where your notes, docs, and research connect, compound, and become instantly retrievable with cited answers. Drop in anything - notes, documents, links, AI conversations - and ask questions across all of it. Kiori retrieves answers from your own content with citations showing exactly where each answer came from. No hallucinated summaries. Real retrieval from a custom RAG pipeline built from the ground up. Organize what matters on visual canvas boards, write polished pages in a wiki-style editor, and share entire workspaces publicly with AI-powered Q&A built in for your readers. Built for researchers, knowledge workers, writers, and communities who are tired of scattered information across too many tools. Free to start. No credit card required.