Build AI agents with accurate context

Build AI agents with
accurate context

Turn your unstructured knowledge into real-time context. Deploy a
pre-built agent or build your own on Kapa’s API or MCP.

Turn your documentation and knowledge into always-current context. Deploy a pre-built agent or build your own on Kapa's API or MCP.

No credit card required. 14 day free trial.

Hundreds of leading companies rely on Kapa to build accurate AI agents at scale

200+ leading companies chose Kapa

instead of building retrieval themselves

Accuracy benchmarks are easy to game. Customer trust isn’t.

Accuracy benchmarks are easy to game.
Customer trust isn’t.

We could show you our benchmarks and eval hours. That would still be us talking. This isn’t.

Still want the proof? Our research team publishes it here.

  • “The only AI assistant we trust not to hallucinate. We’ve tried them all.”

    Shaun Struwig

    Documentation Engineering Manager

  • “Other vendors scored around 60% on accuracy. Kapa was over 99%.”

    Andy Vayo

    Head Enterprise Support

  • “Kapa knows when it doesn’t know. Nothing else came close.”

    Alex Garnett

    Developer Relations

  • “We ran two vendors side by side and let real questions decide. Kapa performed better on accuracy.”

    Gordon Hollingworth

    CTO, Raspberry Pi

  • Harness

    “When it isn’t confident, it says so rather than inventing an answer. For a developer audience that’s exactly the behavior you want.”

    RB

    Richard B.

    Senior Developer Relations Engineer, Harness

  • “Our audience includes developers and less-technical users, so accuracy matters enormously. Kapa answers from our own documentation and cites it.”

    JG

    Javier G.

    Senior Product Operations Manager, Camunda

  • “I was concerned about similarly named chip series, ESP32 vs ESP32-S3 vs ESP32-C3. It turned out not to be an issue.”

    Krzysztof B.

    STO & Education Leader, Espressif

Build your own agent, or launch one of ours

For developers building their own agents

Thinking for 2s…

19 results

Thinking…

Accurate and fast agentic retrieval

Without pruning

19 results

With pruning

−70%

Token-efficient context pruning

API

SDK

MCP

curl api.kapa.ai/v1/retrieve \

  -H X-API-KEY:$KAPA_KEY \

  -d @query.json

→ grounded · 4 sources · 0.9s

Agent-ready APIs, SDKs and MCPs

For teams that just want an agent live

Website widget

MCP server

Slack bot

Zendesk agent

One-click integrations

A

Acme Assistant

#0F766E

Tone Concise, friendly

Guardrails Don't talk price

Source Weighting On

Languages 12

Customize brand, tone and style

Ticket created

Handed off to support

Built-in actions

Customer stories

Why the best teams run their agents on kapa in production.

Rated 4.9/5 on G2

How monday.com scaled their in-product agent to 100,000+ customers

161k+

queries processed

98%

ticket deflection rate

How Nokia deploys Kapa agents across seven networking product lines

300k+

queries processed

125+

sources integrated

How Raspberry Pi uses Kapa's knowledge retrieval to help 88% of users self-serve

88%

self-serve rate

18k+

queries processed since launch

How Nordic Semiconductor deployed Kapa across docs, support form and MCP server

700k+

queries processed

-83%

query token cost

How monday.com scaled their in-product agent to 100,000+ customers

161k+

queries processed

98%

ticket deflection rate

How Nokia deploys Kapa agents across seven networking product lines

300k+

queries processed

125+

sources integrated

How monday.com scaled their in-product agent to 100,000+ customers

+161k

queries processed

98%

ticket deflection rate

How Nokia deploys Kapa agents across seven networking product lines

300k+

queries processed

125+

sources integrated

How Raspberry Pi uses Kapa's knowledge retrieval to help 88% of users self-serve

88%

self-serve rate

+18k

queries processed since launch

How Nordic Semiconductor deployed Kapa across docs, support form and MCP server

+700k

queries processed

-83%

query token cost

How monday.com scaled their in-product agent to 100,000+ customers

+161k

queries processed

98%

ticket deflection rate

How Nokia deploys Kapa agents across seven networking product lines

300k+

queries processed

125+

sources integrated

Accurate context for your agents, in minutes.

Get started for free. Connect your sources and get an API key or hosted MCP server to give your agents the context they need to do reliable work at scale.

Enterprise-grade security and controls

Zero data retention & PII masking

Security controls to limit data retention and PII processing for sensitive use cases.

SOC 2

SOC 2 & GDPR

Independently audited controls for security, availability, and confidentiality.

SSO & RBAC

Single sign-on and role-based access across the platform.

EU/US

Data regions

US and EU hosting available, so your knowledge stays where compliance needs it.

Frequently asked questions

What is Kapa?

Kapa is an ingestion and retrieval system for your unstructured knowledge. Ingestion assembles a unified knowledge base from 20+ types of sources, including documentation sites, PDFs, tickets, community threads and API specifications, and keeps it up to date as that content changes. Agentic retrieval searches across it to find what the agent needs, the moment it needs it. You hand Kapa to your agent as a search tool via MCP, or call it directly through the API. And for the cases where you do not want to build an agent at all, Kapa offers Prebuilt Agents for common use cases, out of the box.

What can I build with Kapa?

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Why do agents need retrieval? Can’t I just put my docs in the context window?

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How is this different from building retrieval in-house?

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When would I use a web search API like Exa or Tavily instead?

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Which knowledge sources can Kapa ingest?

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How does Kapa keep the knowledge base up to date?

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Does it work with my agent framework and model?

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I just want a documentation assistant. Do I have to build an agent?

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Is my data secure? Is it used for training?

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How does pricing work?

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Can Kapa run on-prem or in our own VPC?

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