About Wiki
Wiki is a wiki management product built for AI applications rather than human readers. Its argument is that AI tools can retrieve documents but nothing decides whether a source is reviewed, current and allowed. Wiki keeps knowledge with an owner, review dates, source links, status and history, and releases it to chatbots, copilots and help centers only after it has been verified and scoped.
AI Permissions control the collections, policies and documents that every AI application can draw on, so an internal compensation note can be blocked from a public support bot. Answer Controls check replies against approved sources, insist on citations and flag gaps in knowledge before customers hit them. When a source changes, it is reviewed before reuse rather than updating silently. A Hosted Docs feature publishes approved knowledge as searchable documentation for customers and for AI to answer from. The site describes an eight-step flow from intake and verification to scoping, routing, answering, detecting problems and updating, and offers a demo and a pricing page.
Key features
- Source ownership, review dates and status tracking
- Verification workflow before knowledge reaches AI
- Per-application AI permissions
- Required citations on AI answers
- Testing of answers against approved sources
- Detection of missing knowledge
- Hosted docs published from approved sources
Good fit for
- Keeping a support chatbot answering from current policies
- Blocking internal documents from public AI assistants
Wiki: questions and answers
- What is Wiki used for?
- Wiki is a knowledge management layer for AI applications that tracks which sources are verified, limits what each AI app may use and requires citations in its answers. It is a good fit for keeping a support chatbot answering from current policies and blocking internal documents from public AI assistants.
- How much does Wiki cost?
- Paid plans for Wiki start at $29 per month, and there is no free plan. A free trial is available.
- Is Wiki open source?
- No. Wiki is proprietary (closed-source) software and can't be self-hosted. In the AI Infrastructure category, open-source options include Dify, Langflow and RAGFlow.
- What are some alternatives to Wiki?
- Wiki competes with Glean, Guru and Vectara.
Open-source alternatives to Wiki
See all
Dify
AI Infrastructure
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collabo
OSSvs Gumloop★ 158k
Langflow
AI Infrastructure
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
MITvs Gumloop★ 156k
RAGFlow
AI Infrastructure
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cu
Apache-2.0vs Vectara★ 92k
PrivateGPT
AI Infrastructure
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, t
Apache-2.0vs ChatGPT★ 58k
WeKnora
AI Infrastructure
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous
OSS★ 32k
Opik
AI Infrastructure
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows wit
Apache-2.0vs Weights & Biases★ 22k
SaaS alternatives to Wiki
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Glean
Search
Enterprise AI search and assistant across a company's connected work apps
SaaS
Guru
Docs & Wikis
Company wiki that surfaces verified answers inside chat and the browser
SaaS
Vectara
Search
Managed retrieval and RAG platform with semantic search APIs
SaaS
kapa.ai
AI Tools
AI assistant that answers questions from product docs and support content
SaaS
IgnitionRAG
AI Infrastructure
RAG platform covering document ingestion, search, agents, evaluation and observability for AI assistants
SaaS
Unstructured
AI Infrastructure
Platform that converts documents into structured data for LLM and RAG pipelines
SaaS
