Download Mobile AppWhen should a team use Edworking AI Search?
Use Edworking AI Search when a teammate needs to find decisions, files, task updates, meeting context, or project knowledge across the workspace without knowing the exact title or keyword.
AI-Powered Search
Your Entire Workspace, One Search Away
Find anything across your docs, tasks, chats, and files instantly. AI-powered deep search with contextual answers.
⌘Kto open↵to select
Powered by AITwo ways to find anything
The search in your top bar returns indexed results as you type. The AI bar reads them and writes you an answer.
Lightning Fast
Results while you are still typing
The search in your top bar reaches every task, doc, file and message in your workspace. Matches appear as you type, highlighted in the titles they came from.
Search across your work with AIesc
–
Precise Filters
Narrow it down to the one you meant
Filter by type, by space, or by date range, and the count updates as you go. Useful when you know the file exists and you just need to stop the other forty results getting in the way.
launch
–
1 result
Product launch briefTimeline and checklist for the release
DocAug 21
Semantic Search
Ask a question, get an answer
Instead of a list of links, ask in plain English and Brain writes the answer, showing the docs, tasks and messages it read to get there.
What did we agree on for the Q3 launch?
Searching your workspace
Docs, tasks and meeting notesQ3 launch planLaunch review
Ask anything about your workspace
Context Aware
AI that knows what you are looking at
The bar follows you. Ask about your whole workspace, a single space, a board, the doc you have open, or just the lines you highlighted, and switch the target whenever you want.
Ask about
Ask about your docs
AI search answers
What can Edworking AI Search find?
Answer-ready guidance for teams comparing semantic workspace search, source-aware AI answers, knowledge discovery, and connected project context.
What makes AI Search useful for answer engines?
The page now states the searchable sources, best-fit teams, review boundaries, and related AI features in short answer blocks that can be quoted or summarized.
How should teams review AI Search results?
Teams should treat AI Search as a fast retrieval layer, then verify sensitive decisions, customer promises, finance details, and policy changes against the original workspace source.
What can Edworking AI Search search across?
Edworking AI Search helps teams find information across workspace docs, tasks, chats, files, task comments, and shared project context.
How is AI Search different from keyword search?
It looks for meaning and context, not only exact words, so a teammate can ask for a decision, file, task, or discussion even when they do not remember the original wording.
Best for answer-ready teams
- Search across docs, tasks, chat, files, and PDFs
- Find decisions when the exact wording is unknown
- Connect AI answers back to source workspace context
Review before relying on
- Customer promises, finance, legal, or hiring decisions
- Outdated files or unresolved task threads
- Answers from disconnected apps outside workspace context
Search everything, find anything
Our vector-powered AI understands context and intent, not just keywords
Docs
Search through all your documents, notes, and collaborative docs with semantic understanding
Tasks
Find tasks, subtasks, and project details across all your workspaces instantly
Conversations & Chats
Search through team messages, private chats, and threaded discussions
Files & Media
Find files across your spaces, then open one and ask AI to summarize it or pull out the key points
How AI Search works
01
Continuous indexing
Every document, task, message, and file is automatically indexed in real-time as your team works
02
Vector embeddings
Content is transformed into semantic vectors that capture meaning, context, and relationships
03
Intent understanding
Your search query is analyzed to understand what you're really looking for, not just keywords
04
Ranked results
Results are intelligently ranked by relevance, recency, and your personal work patterns
Traditional search vs AI Search
Traditional Search
- Exact keyword matching only
- No understanding of context
- Misses misspellings and synonyms
- No way to ask a question in plain English
- Slow with large datasets
Edworking AI Search
- Semantic understanding of intent
- Full context from your workspace
- Handles typos and related terms
- Ask in plain English, get a written answer
- Instant results at any scale
Ready to find anything instantly?
Join thousands of teams using AI Search to work smarter and find information faster.
Explore More Resources
Discover guides, tools, and insights to help you succeed
Frequently Asked Questions
AI Search uses semantic understanding to match intent, not just keywords. This means it finds relevant results even when you don't use exact terms, typically surfacing what you need 3x faster than traditional search.
Tasks, docs, files and messages across your spaces, including task comments. You can narrow results by type, space and date range. How far back message history goes depends on your plan.
Filtered results come back as you type. AI answers stream in while the assistant works, so you watch the thinking steps and the sources it opened instead of waiting on a blank screen.
Absolutely. All data stays within your workspace and is encrypted. AI Search only indexes content you have permission to access, respecting all team and project permissions.
Yes. Results can be filtered to a single space, and when you ask the AI you can point it at your whole workspace, one space, a board, or a single doc.