Knowledge retrieval API
for AI agents

Connect your unstructured data and give your agents accurate, cited context from your knowledge base via API or MCP.

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Join the teams building the AI frontier

Trusted by category-defining startups and Fortune 500 enterprises

Join the teams building the AI frontier

Trusted by category-defining startups and Fortune 500 enterprises

Capabilities

Everything you need to give your AI agents context from unstructured knowledge

01

Pre-built connectors

Web crawls, Zendesk, GitHub, Slack, PDFs, and more. Every source’s auth, pagination, and rate limits, handled.

Explore connectors

02

Continuous sync

Kapa detects and re-processes only what changed, and updates land in minutes. No more stale context.

03

Managed retrieval pipeline

Chunking, embedding, hybrid search, reranking and evals - tuned continuously by our world-class research team for you.

04

Context pruning

Give your agents the context that actually matters, Kapa prunes the rest. Accurate retrieval at scale for 68% fewer tokens.

01

Pre-built connectors

Web crawls, Zendesk, GitHub, Slack, PDFs, and more. Every source’s auth, pagination, and rate limits, handled.

Explore connectors

02

Continuous sync

Kapa detects and re-processes only what changed, and updates land in minutes. No more stale context.

03

Managed retrieval pipeline

Chunking, embedding, hybrid search, reranking and evals - tuned continuously by our world-class research team for you.

04

Context pruning

Give your agents the context that actually matters, Kapa prunes the rest. Accurate retrieval at scale for 68% fewer tokens.

Twice as accurate as alternatives. Proven in production.

2x

2x

more likely to find the right source than DIY retrieval and web search

Recall@5 on human-annotated questions from four public knowledge bases.

Recall@5

Kapa

DIY retrieval

Web search

Kapa

65%

Firecrawl + Pinecone

37%

Azure AI Foundry

35%

Exa

35%

Tavily

27%

Trusted by 200+ leading companies

Use cases

The agents teams are building on Kapa retrieval

One knowledge base grounds every agent across your product, support, and engineering stack.

AGENT FRAMEWORKS

Connect up-to-date knowledge to your in-product agent

Ground the agent inside your app with the Retrieval API or a hosted MCP server

Explore use case

DOCUMENTATION

Let users ask AI directly on your documentation

Add the website widget to your documentation site and answer every question with cited sources

Explore use case

SUPPORT

Resolve support tickets before they reach your team

Deflect, draft, and resolve tickets in Zendesk and other platforms with answers from your indexed knowledge

Explore use case

DEVELOPMENT

Offer a public MCP server for your product

Let Claude, Codex, and Cursor query your documentation while developing new solutions on top of your product

Explore use case

INTERNAL

Build a company brain your whole team can query

Index wikis, drives, and documentation so employees self-serve answers instead of interrupting experts

Explore use case

COMMUNITY

Answer your community's questions around the clock

Deploy agents in Slack, Discord, and Discourse that resolve threads from your documentation and past answers

Explore use case

Competitor intelligence

Track competitor products and positioning as they change

Crawl competitor websites into an always-current private index your team can ask about messaging, pricing, and features

Explore use case

SALES

Draft RFP answers from knowledge you already have

Connect Claude or ChatGPT to your documentation and policies via MCP to fill questionnaires and security assessments

Explore use case

AGENT FRAMEWORKS

Connect up-to-date knowledge to your in-product agent

Ground the agent inside your app with the Retrieval API or a hosted MCP server

Explore use case

DOCUMENTATION

Let users ask AI directly on your documentation

Add the website widget to your documentation site and answer every question with cited sources

Explore use case

SUPPORT

Resolve support tickets before they reach your team

Deflect, draft, and resolve tickets in Zendesk and other platforms with answers from your indexed knowledge

Explore use case

AGENT FRAMEWORKS

Connect up-to-date knowledge to your in-product agent

Ground the agent inside your app with the Retrieval API or a hosted MCP server

Explore use case

DOCUMENTATION

Let users ask AI directly on your documentation

Add the website widget to your documentation site and answer every question with cited sources

Explore use case

SUPPORT

Resolve support tickets before they reach your team

Deflect, draft, and resolve tickets in Zendesk and other platforms with answers from your indexed knowledge

Explore use case

DEVELOPMENT

Offer a public MCP server for your product

Let Claude, Codex, and Cursor query your documentation while developing new solutions on top of your product

Explore use case

INTERNAL

Build a company brain your whole team can query

Index wikis, drives, and documentation so employees self-serve answers instead of interrupting experts

Explore use case

COMMUNITY

Answer your community's questions around the clock

Deploy agents in Slack, Discord, and Discourse that resolve threads from your documentation and past answers

Explore use case

Competitor intelligence

Track competitor products and positioning as they change

Crawl competitor websites into an always-current private index your team can ask about messaging, pricing, and features

Explore use case

SALES

Draft RFP answers from knowledge you already have

Connect Claude or ChatGPT to your documentation and policies via MCP to fill questionnaires and security assessments

Explore use case

AGENT FRAMEWORKS

Connect up-to-date knowledge to your in-product agent

Ground the agent inside your app with the Retrieval API or a hosted MCP server

Explore use case

DOCUMENTATION

Let users ask AI directly on your documentation

Add the website widget to your documentation site and answer every question with cited sources

Explore use case

SUPPORT

Resolve support tickets before they reach your team

Deflect, draft, and resolve tickets in Zendesk and other platforms with answers from your indexed knowledge

Explore use case

Why the best engineering teams love Kapa

Rated 4.9/5 on G2

Y

Backed by Y Combinator

“Kapa is super easy to set up. As we expand, we’ll continue to find more integration points to bring the right context to our agents.”

Dana Lawson

CTO, Netlify

“We use Kapa to power self-serve AI agents on our docs, which cuts time-to-value dramatically.”

Jan Oberhauser

CEO, n8n

"Engineers ask a question and get a cited answer in seconds, inside the tools they already work in. Kapa handles the complex retrieval behind the scenes."

Albert F.

AI Product Manager, CELO

“Thousands of complex sources across PDFs, versioned docs, and code. Kapa keeps it all in sync as we ship.”

Deidre Casey

AI Integration Manager, Nordic Semiconductor

“Kapa lets us focus on building agents, not maintaining retrieval infrastructure.”

Sam Bhagwat

CEO, Mastra

“Kapa knows when it doesn’t know. That’s the difference. We tried other vendors and nothing came close.”

Shaun Struwig

Documentation Engineering Manager, ClickHouse

“Kapa started as an agent on our docs. Now it’s the interface layer between our product and everyone.”

Matan Grady

Product Director, Port

“Kapa is key infrastructure for powering context in our user-facing agents.”

Daniel Hai

AI Product Manager, monday.com

"Kapa let us focus on the problems we were solving instead of allocating engineering resources to retrieval infrastructure. Their retrieval API feeds accurate context directly into our user-facing agents."

Chuck Hardy

Engineering and Product Director, Akaneo

Everything you need to give your agents accurate retrieval, ready 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.

Get started

Enterprise-grade security and controls

Talk to us

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?

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Kapa is an ingestion and retrieval system for your unstructured knowledge. Ingestion assembles a unified knowledge base from 20+ types of sources - documentation sites, PDFs, tickets, community threads, 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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Pricing

Documentation

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