Knoku is an AI-powered knowledge base tool designed to help organizations streamline customer success and developer support. Developed by Mehmet MAŞA (Founder and Lead Developer at Mikpa LLC), Knoku aggregates your existing documentation, including websites, GitHub repositories, and internal documents, into a single, cohesive searchable knowledge base.

By leveraging artificial intelligence, the platform allows teams to surface accurate answers with citations pointing back to the original source. Users can access this knowledge base across several channels: an embeddable widget, Slack, Discord, Model Context Protocol (MCP), or directly through an API.

A core benefit of Knoku is its commitment to accuracy. Rather than hallucinating or making up answers when information is missing, Knoku records the query. This allows administrators to identify and address documentation gaps. Furthermore, the tool includes built-in analytics that track repeated questions, document knowledge gaps, and measure support ticket deflection rates.

Pros of Knoku

Consolidates websites, GitHub repositories, and internal documentation into one searchable interface.
Provides reliable citations referencing the original sources for every answer.
Avoids AI hallucinations by recording unknown questions instead of inventing false answers.
Flexible integration options including an embeddable widget, Slack, Discord, MCP, and API.
Built-in analytics to monitor knowledge gaps, recurring queries, and deflected tickets.

Cons of Knoku

Requires manual knowledge base updates to answer newly recorded questions that were not initially covered.
Channel integrations are limited to the platform's supported list (Widget, Slack, Discord, MCP, and API).

Frequently Asked Questions

What data sources can Knoku connect to?

Knoku can turn websites, GitHub repositories, and internal documentation into a single searchable knowledge base.

Where can users interact with Knoku to get answers?

You can deploy Knoku to answer questions via an embeddable widget, Slack, Discord, MCP, or by using their API.

How does Knoku handle questions when it doesn't know the answer?

To prevent making up incorrect answers, Knoku records any unanswered questions so that you can fill in the knowledge gaps, rather than hallucinating a response.

What insights do Knoku's built-in analytics provide?

Knoku's built-in analytics display repeated user questions, highlight existing knowledge gaps, and track how many support requests were successfully resolved before escalating into support tickets.