Knowledge retrieval API for AI agents

Ground any agent in
your knowledge base

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.

Explore syncing

03

Managed retrieval pipeline

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

Explore agentic retrieval

04

Context pruning

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

Explore pruning

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.

Explore syncing

03

Managed retrieval pipeline

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

Explore agentic retrieval

04

Context pruning

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

Explore pruning

Use cases

The agents teams are building on Kapa retrieval

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

In-product agent

AI agents embedded directly in your application. Build one on Kapa's Retrieval API, or use the pre-built components in the Kapa Agent SDK.

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Documentation agent

Your docs are where people go to figure things out, and where they end up when stuck. Embed an agent in your documentation so users can self-serve.

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Support agent

Most support tickets ask something you've already answered. Connect Kapa to those sources to deflect repeat tickets before they reach your team.

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Public MCP server

More of your users work through AI assistants like Claude or Codex. Kapa hosts your MCP server, so they can connect it to whichever assistant they use.

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Company brain

Your team's knowledge is spread across docs, Slack, tickets, and wikis. Connect them all to Kapa so anyone can ask a question and get a sourced answer.

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Community forum agent

Community questions in Discord, Slack, or Discourse often wait hours. Kapa answers them instantly from your docs and flags only what it can't resolve.

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RFP answer agent

RFPs and security questionnaires ask the same questions in new words each time. Kapa drafts answers from your past responses and docs, ready for review.

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Competitor intel agent

Sales and product both field questions about how you stack up. Kapa answers them from your battlecards and competitor research, always kept current.

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In-product agent

AI agents embedded directly in your application. Build one on Kapa's Retrieval API, or use the pre-built components in the Kapa Agent SDK.

Learn more ->

Documentation agent

Your docs are where people go to figure things out, and where they end up when stuck. Embed an agent in your documentation so users can self-serve.

Learn more ->

Support agent

Most support tickets ask something you've already answered. Connect Kapa to those sources to deflect repeat tickets before they reach your team.

Learn more ->

Public MCP server

More of your users work through AI assistants like Claude or Codex. Kapa hosts your MCP server, so they can connect it to whichever assistant they use.

Learn more ->

Company brain

Your team's knowledge is spread across docs, Slack, tickets, and wikis. Connect them all to Kapa so anyone can ask a question and get a sourced answer.

Learn more ->

Community forum agent

Community questions in Discord, Slack, or Discourse often wait hours. Kapa answers them instantly from your docs and flags only what it can't resolve.

Learn more ->

RFP answer agent

RFPs and security questionnaires ask the same questions in new words each time. Kapa drafts answers from your past responses and docs, ready for review.

Learn more ->

Competitor intel agent

Sales and product both field questions about how you stack up. Kapa answers them from your battlecards and competitor research, always kept current.

Learn more ->

Benchmark

The highest quality retrieval compared to alternatives

Kapa finds the right sources twice as often as alternatives. Web search can only retrieve public data, while DIY builds break when retrieval is across multiple products, versions and source types.

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

Analytics

See the queries where Kapa couldn't give a confident answer

Every retrieval is logged: what was asked, what was retrieved, and where your knowledge base is lacking - so you can take action on it.

See what agents are querying

Reveal what agents and users ask for the most, and why

Know what documentation to write next

Coverage Gaps tell you what Kapa was uncertain about, and how to close the gap.

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 to Kapa.”

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.

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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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