AI Search for Documentation
If your app's search still relies on keyword matching, you're frustrating your users. Modern users expect semantic search—the ability to ask a question and find the exact answer.
Keyword Search
- Requires exact word matches
- Returns a list of page links
- "Zero results" pages common
- Users give up after 2 tries
AI Semantic Search
- Understands intent and meaning
- Returns direct, summarised answers
- Always finds relevant content
- Users find answers first try
The AI Search Revolution
By embedding AI search directly into your application, you allow your users to explore your entire knowledge base using natural language. No more "zero search results" pages. EmbedAI's search layer understands intent, not just words.
Search Across Everything
Connect your docs, tickets, and internal app data into a single searchable interface. One query searches everything.
Instant Contextual Answers
The AI search doesn't just find links—it summarises the output so users get the answer they need instantly.
Simplified Integration
Don't spend months building vector search pipelines. Use our 2-line embed and go live today.
How to Get Started
Adding AI search to your app is as simple as adding a JavaScript tag. Sign up for an EmbedAI account, upload your documentation or connect your API, and you'll have a world-class AI search experience live on your site in minutes. Not a developer? The same technology powers our AI chatbot for websites — no code required.
How AI Search Transforms Documentation
Traditional keyword search fails when users don't know the exact terminology. AI-powered semantic search understands the intent behind queries — so when a user asks "how do I reset my password" it finds the right article even if it's titled "Account Recovery Guide".
EmbedAI indexes your entire documentation library and delivers precise, contextual answers in seconds. No more frustrated users scrolling through irrelevant results.
Frequently Asked Questions
How does AI search differ from regular search?
Regular search matches keywords literally — if the user's words don't appear in the document, they get no results. AI search understands meaning and context, so it finds relevant content even when the wording is different. It can also summarise answers from multiple documents.
What types of documentation can I index?
EmbedAI can index help articles, PDFs, knowledge base pages, FAQs, product guides, API docs, and any text-based content. Simply upload your documents or point to your website and the AI handles the rest.
How long does setup take?
Most teams are fully set up in under 10 minutes. Add the embed snippet, upload your docs, and AI search is live. No custom infrastructure, no database configuration, no maintenance required.
Can it handle multiple languages?
Yes. The underlying AI models support multilingual content, so users can search in their preferred language and get results from documentation written in any supported language.
Explore More Solutions
AI Search FAQ
Is this just keyword search?
No. EmbedAI uses semantic search, which understands the actual meaning and intent behind a user's query, allowing for much more accurate results than traditional keyword matching.
What data formats do you support?
We support text, markdown, HTML, PDF, and direct integration with popular platforms like Zendesk, GitBook, and Notion.