Quickstart

In a few words ... What's KAI ?

Plugged to Your Search AI, Keep Your Documents Updated

KAI (Knowledge AI) is a platform that enhances AI-powered search systems by automatically maintaining your document repositories. We detect when your documents are outdated, contradictory, or missing critical information—then help you fix them before users experience the problem.

What is KAI?

KAI provides intelligent document maintenance for systems using generative AI. Whether you're using RAG, agents, copilots, or any AI search system, KAI ensures your knowledge base stays accurate, consistent, and complete.

The Core Problem We Solve

Your AI search system is only as good as your documents. When documents are:

• Outdated after product changes

• Contradictory across different sources

• Missing information users are asking about

Your AI gives confusing, incorrect, or incomplete answers. Users lose trust. Support tickets spike.

KAI solves this by automatically detecting these issues and helping you fix them.

Our Products

🎯 KAI Document Companion (Main Product)

For: Knowledge base managers, documentation teams, product managers, support teams—anyone who sees their AI search system struggle because documents aren't maintained.

What it does:

1. Cleans up your repository by identifying duplicate documents

2. Detects conflicts between documents and user queries

3. Identifies missing topics users are asking about

4. Generates new documents automatically based on your answers

How it works: Connects to your document repositories and your AI search system. Analyzes user queries in real-time to detect when documents need updating. Provides actionable alerts and even generates new content for you.

👉 Learn more about KAI Document Companion →

⚙️ KAI Instance (The Technology)

For: CDOs, CTOs, Architects building or enhancing AI search systems.

What it is: A semantic indexing engine that powers KAI Document Companion. It creates a proprietary semantic neural network that understands relationships between information across your documents.

How it fits: KAI Instance serves as the intelligent retrieval component of RAG systems, providing semantic understanding instead of simple vector similarity. It's the technology that makes KAI Document Companion's conflict detection possible.

👉 Learn more about KAI Instance →

How KAI Works (The Big Picture)

┌─────────────────────┐
│  Your Document      │
│  Repositories       │
└──────────┬──────────┘
           │
           │ KAI connects
           ▼
┌─────────────────────┐
│  KAI Document       │
│  Companion          │
│  (Powered by        │
│   KAI Instance)     │
└──────────┬──────────┘
           │
           │ Monitors queries
           │ from your AI
           ▼
┌─────────────────────┐
│  Your AI Search     │
│  System (RAG,       │
│  Agents, Copilot)   │
└─────────────────────┘
           │
           │ User queries
           │ reveal issues
           ▼
┌─────────────────────┐
│  KAI detects:       │
│  • Conflicts        │
│  • Outdated docs    │
│  • Missing topics   │
└──────────┬──────────┘
           │
           │ Alerts & fixes
           ▼
┌─────────────────────┐
│  Updated,           │
│  Consistent KB      │
└─────────────────────┘

The KAI Value Proposition

For Business Users (KAI Document Companion)

Stop the frustration of broken AI answers

• Proactive detection: We find problems before users complain

• Automatic content generation: We create documents for missing topics

• Time savings: Focus on fixing issues, not finding them

• Better user experience: Your AI gives accurate, consistent answers

Real impact:

• Fewer support tickets from confused users

• Higher user trust in your AI system

• Less time spent manually maintaining documentation

• Faster response to documentation gaps

For Technical Leaders (KAI Instance)

Enhance your RAG with semantic retrieval

• Better context: Semantic relationships instead of vector similarity

• Reduced hallucinations: Structured semantic nodes prevent AI from inventing connections

• Focus on what matters: We handle retrieval, you focus on generation and UX

• Auto-scaling: No thresholds, no maintenance

Real impact:

• Improved accuracy of AI-generated responses

• Better context understanding for agents

• Reduced engineering time on retrieval optimization

• Scalable infrastructure without manual tuning

Getting Started

Option 1: Start with KAI Document Companion (Recommended)

Best for: Teams who want to improve their AI search system's reliability right now.

1. Book a demo to see how it works with your documents

2. Connect your repositories and AI system

3. Get immediate value from duplicate detection

4. Start receiving alerts on conflicts and gaps

👉 Get Started with KAI Document Companion →

Option 2: Explore KAI Instance

Best for: Technical teams building or enhancing RAG systems.

1. Understand the technology behind semantic retrieval

2. See how it integrates with your RAG architecture

3. Evaluate as a retrieval component for your AI system

👉 Learn about KAI Instance →

Option 3: Talk to Us

Best for: Teams who want to understand how KAI fits their specific use case.

• Schedule a call to discuss your needs

• Get a personalized demo with your documents

• Ask questions about integration and deployment

Common Questions

Do I need both KAI Document Companion and KAI Instance?

No. KAI Document Companion uses KAI Instance under the hood. If you're using KAI Document Companion, you're already benefiting from KAI Instance's semantic technology.

Use KAI Instance directly if you're building your own AI search system and want semantic retrieval as a component.

What AI systems does KAI work with?

KAI Document Companion works with any AI search system that processes user queries:

• RAG systems (Retrieval-Augmented Generation)

• Conversational agents

• AI copilots and assistants

• Any system with API access to user queries

How does KAI connect to my systems?

Document Repositories: Via connectors (Confluence, SharePoint, Notion, Git, file systems, etc.)

AI Search System: Via REST API—your AI system sends us user queries in real-time

No changes needed to your existing infrastructure.

What document formats are supported?

• Microsoft Office: .docx, .pptx, .xlsx

• PDF: .pdf

• Markdown: .md

• Web: .html

• Text: .txt

Audio and video files are not currently supported.

How is KAI deployed?

KAI Instance can be deployed as:

• SaaS (cloud-hosted)

• On-premises (your infrastructure)

• Snowflake Marketplace (native integration)

KAI Document Companion is typically deployed as SaaS, with on-premises options available.

Next Steps

Ready to improve your AI search system?

1. Read more about KAI Document Companion to understand the full solution

2. Book a demo to see it in action with your documents

3. Contact us to discuss your specific needs

Building your own AI system?

1. Explore KAI Instance as a semantic retrieval component

2. Understand how it fits in your RAG architecture

3. Get in touch to discuss integration

KAI - Knowledge AI. Plugged to your search AI, keep your documents updated.