It is an LLM-powered AI assistant designed to handle complex technical questions by using indexed technical documentation as its knowledge base. It integrates easily with websites, Slack, Discord, Zendesk, and other platforms via pre-built connectors or lightweight scripts.

Typical users are technical writers, product managers, support operations, and go-to-market teams aiming to improve documentation, onboarding, support deflection, and customer response times.

How do you deploy Kapa.ai?

Deployment is straightforward: connect your documentation sources, drop a small script/widget on your site or help center, and let Kapa index your content. It requires minimal technical effort and can go live in minutes.

What AI models does Kapa use?

Kapa is model-agnostic—meaning it can be configured to use various LLM providers but always uses state-of-the-art models and RAG techniques to minimize hallucinations and maximize answer relevance.

Does Kapa.ai support multiple languages?

Yes, although optimized primarily for English, it can respond to questions in multiple languages and can translate based on indexed content versus user question language.

Can Kapa integrate with existing support and knowledge platforms?

Yes. It has integrations for Zendesk Help Center, Salesforce, Front, and custom customer service platforms. It supports ingesting both public and private articles to power the AI assistant.

Can I customize FAQ answers directly in Kapa.ai?

Yes. You can create and manage custom question-answer pairs within Kapa to provide immediate and precise responses tailored to your needs, independent of external data sources.

How does Kapa handle uncertain or insufficient information?

If the system detects insufficient data to answer confidently, it flags the answer as Uncertain, showing users it lacks enough information and helping teams to identify knowledge gaps (e.g., “Hmm, I do not have enough information.”).

Is response length configurable?

No. Response length depends on the necessary detail to fully and accurately address the question. Adjusting response length manually is discouraged to preserve accuracy and context.

What security and privacy measures are in place?

Kapa.ai is SOC II-compliant, does not handle private data without consent, and signs opt-out agreements with LLM providers to prevent training on proprietary data. API keys must be kept private to maintain security.

What analytics and documentation gap detection features does Kapa.ai offer?

Kapa.ai offers analytics on question coverage, unanswered queries, and source usage, helping teams to improve their documentation continuously.

What are the common issues with the Website Widget?

It uses invisible reCAPTCHA to avoid abuse. Users may sometimes see "unusual activity" errors when submitting many questions rapidly or typing very fast.

kapa.ai

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Kapa.ai helps you quickly create AI assistants from your technical documents. It gives instant, accurate answers to complex questions, making it easier for users to find help in your docs, product, or chat. This tool improves support, speeds up onboarding, and reduces common queries.

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Overview Features Use Cases FAQ Integrations Pricing

About kapa.ai

Who It's For

Kapa.ai helps companies with technical products, such as software or electronics. Teams like technical writers, product managers, and support staff use it. They use it to improve documents, onboard users faster, and quickly answer customer questions.

What You Get

You receive an AI assistant that uses your technical content to give accurate answers to complex questions. It also helps you find gaps in your documentation. This assistant integrates easily with platforms like websites, Slack, and Zendesk, and comes with enterprise-level security.

How It Works

You simply connect Kapa.ai to your technical data sources, like your website or internal documents, in just a few clicks. The AI is specifically tuned to answer technical questions with high accuracy. You can then quickly launch this assistant on your website, in chat, or for internal teams, plus it offers analytics to show what users are asking.

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Features & Capabilities

⚙️ Core AI Capabilities

AI-powered Technical Q&A

Provides instant, reliable, LLM-powered answers to complex technical questions based on your documentation.

Optimized RAG Engine

Leverages Retrieval Augmented Generation (RAG) specifically fine-tuned for high accuracy on technical content and product inquiries.

Model Agnostic Flexibility

Integrates with multiple leading LLM providers and proprietary models to ensure optimal performance and accuracy.

🔗 Data Integration

40+ LLM-Optimized Connectors

Securely ingests content from over 40 external and internal data sources like Docusaurus, GitHub, Confluence, Zendesk, and more.

Automated Content Preparation

Automatically prepares and structures complex technical content for RAG, eliminating manual data engineering effort.

🚀 Flexible Deployment

Multi-Channel Assistant Deployment

Instantly deploys AI assistants across documentation, in-product experiences, support help centers, and internal chat platforms.

Pre-built Widgets & APIs

Offers ready-to-use website widgets, Slack/Discord bots, and comprehensive API/SDKs for seamless integration into existing workflows.

📊 Analytics & Insights

Documentation Gap Analysis

Identifies missing or unclear content by analyzing user questions and common themes within the analytics platform.

Performance Monitoring Dashboard

Provides an analytics platform to track user engagement, answered questions, CSAT, and identify content improvement opportunities.

🔒 Enterprise-Grade Security

SOC 2 Type II Certification

Ensures robust data security and compliance with stringent industry standards, including regular penetration testing.

Automated PII Masking

Features private data masking to automatically remove sensitive Personally Identifiable Information during data ingestion.

Access Control & Authentication

Supports enterprise features like Single Sign-On (SSO) and Role-Based Access Control (RBAC) for secure management.

Use Cases

Enhancing External Customer Support & Documentation

Technical product users often struggle to quickly find answers within extensive documentation, leading to frustration and increased support tickets. Kapa.ai solves this by providing an AI-powered assistant directly within documentation sites, help centers, and product interfaces, delivering instant and accurate answers to deflect tickets and improve the overall user experience.

Developer Tools, B2B SaaS, Technical ProductsFor: Support Operations, External Developers, Technical Product Users

Streamlining Internal Knowledge Access for GTM Teams

Go-to-Market and support teams frequently need rapid access to technical product information scattered across various internal systems like Confluence and Zendesk. Kapa.ai acts as an internal AI assistant, connecting these disparate knowledge bases to provide immediate, accurate answers, thereby accelerating internal response times and speeding up onboarding for new team members.

B2B SaaS, Enterprise Software, Technical ProductsFor: Go-to-Market Leaders, Sales Development Teams, Support Engineers

Accelerating Product Adoption & Developer Onboarding

Developers and new users of complex technical products face significant learning curves, which can hinder product integration and adoption. Kapa.ai addresses this by offering an in-product AI assistant that delivers real-time, context-aware responses to technical questions, effectively streamlining onboarding, improving product usability, and boosting overall user engagement and adoption rates.

Developer Tools, B2B SaaSFor: Product Managers, Developers, Technical End-users

Optimizing Technical Documentation and Content Strategy

Companies often find it challenging to pinpoint gaps and areas for improvement in their technical documentation, resulting in recurring user questions. Kapa.ai's analytics platform provides critical insights into user queries and unanswered questions, enabling technical writers and content teams to proactively identify and fill knowledge gaps, ensuring continuous improvement in content accuracy and completeness.

Any company with technical productsFor: Technical Writers, Content Strategists, Product Managers

Frequently asked questions

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