Find more like this.

Search without typing a word.

Start from any item.
Select any file, note, link, image, or document in your workspace and ask Fabric to find similar content. No need to think of the right keywords or construct a query. The item itself is the search.

Similarity by meaning.
Results are based on what the content is about, not just shared keywords or tags. Two documents that discuss the same concept in different language will surface as similar, even if they share no words in common.

Works across all content types.
Find similar content regardless of format. A PDF, a note, a saved article, and an image can all surface as related to each other if their content overlaps in meaning, theme, or subject matter.

A different way to discover.

Visual similarity.
For images and design files, similar search understands visual attributes like composition, color, and subject matter. Upload or select an image and find visually related content across your workspace.

Cross-format connections.
Similar search connects content across formats. Select a research paper and find related notes you wrote, articles you saved, and recordings that cover the same topic. The connections go beyond what a folder structure or tag system can show you.

Build from what you find.
Use similar search results as a starting point. Pull related items onto a canvas, organize them into a new folder, or ask your AI assistant to summarize the common themes across what was found.

Search the way your brain works.

Traditional search assumes you know what you are looking for. You type a query, and the system returns matches. But often the best way to find something is to point at an example and say "more like this." You have a great article and want to find others that cover the same ground. You have a research paper and want to see what else in your workspace addresses the same questions. You have a design reference and want to find visually similar assets. Similar search handles all of these by using the item itself as the query.

This is powered by the same semantic understanding that drives Fabric's smart search and smart organization. Fabric understands the meaning of your content, not just the words in it. When you select an item and ask for similar content, it looks for other items in your workspace that share concepts, themes, or subject matter. The result is a set of connections you might never have found through keyword search because you would not have known what terms to type.

Uncover hidden connections.

The most valuable results from similar search are often the ones you did not expect. A note you wrote for one project turns out to be closely related to a saved article you filed under a different topic. A client brief from six months ago addresses the same challenges as a research paper you saved last week. These cross-pollinations happen naturally when your workspace grows, but they stay hidden until something surfaces them. Similar search is one way to make them visible, alongside Fabric's Explorer which provides a spatial, browsable view of the same underlying relationships.

For researchers working through a literature review, similar search is especially useful. Select a key paper and instantly find every other item in your workspace that covers related territory. This can surface papers you saved months ago, notes from lectures, saved web articles, and even transcribed audio recordings that discuss the same topics. It turns your workspace into a network of related ideas rather than a collection of isolated files.

Visual search for creative work.

For designers and visual professionals, similar search extends to images and design files. Select a reference image and find other images in your workspace with similar visual qualities. This is useful for building moodboards, maintaining brand consistency across digital assets, or finding that specific photo you know you saved but cannot describe in words. Combined with Fabric's color search capabilities, it gives visual professionals powerful ways to navigate their image libraries without relying on manual tagging.

Use cases

Literature reviews
Select a key paper and find everything related across your workspace. Surface notes, articles, and recordings that address the same topics without constructing complex search queries. See how Fabric supports literature reviews.

Moodboards and visual research
Select a reference image and find visually similar content across your library. Build moodboards by finding images that share aesthetic qualities, color palettes, or subject matter.

Competitive research
Select a competitor analysis document and find all related content in your workspace. Surface saved articles, notes, and research that address the same companies, markets, or themes. See how Fabric supports competitive research.

Content planning
Select a successful piece of content and find related reference material, research, and inspiration across your workspace. Use similarities to identify themes and angles for new work. See how Fabric supports content planning.

Study and revision
Select a concept you are studying and find all related materials across your courses and saved resources. See connections between topics that span different lectures, readings, and notes. See how Fabric supports studying.

Perfect for

Researchers
Find related papers, notes, and resources by selecting any item in your library. Surface connections across your entire research collection that keyword search would miss. Learn more about Fabric for researchers.

Designers
Search your image and asset library by visual similarity. Find references, textures, and inspiration that match a specific aesthetic without manually tagging every file. Learn more about Fabric for designers.

Writers and content creators
Discover related reference material by selecting any piece of content as your starting point. Find articles, notes, and research that inform the same themes you are working on. Learn more about Fabric for content creators.

Students
Connect study materials across courses and semesters. Select a concept and see how it appears across your notes, readings, and saved resources. Learn more about Fabric for students.

Works seamlessly with other features.

Smart search
Similar search complements Fabric's keyword and semantic search. Use search when you know what to type, and similar search when you have an example to start from.

Explorer
Explorer provides a spatial, browsable view of content relationships. Similar search gives you targeted results from a specific starting point. Together they offer two ways to discover connections.

Canvas
Pull similar search results onto a canvas to arrange and compare them visually. Turn a set of related items into a working board for analysis or brainstorming.

AI assistant
Ask your AI assistant to summarize or compare the results from a similar search. Identify common themes, contradictions, or gaps across a set of related content.

FAQ

How do I use similar search?
Select any item in your workspace and choose the option to find similar content. Fabric will return items from across your workspace that are semantically related to the selected item.

What determines similarity?
Similarity is based on the meaning and content of your files, not just shared keywords or tags. Fabric's AI understands what each item is about and matches items that share concepts, themes, or subject matter. For images, visual attributes like composition and color are also considered.

Does it work across different file types?
Yes. Similar search works across all content types. Selecting a PDF can surface related notes, saved articles, images, and transcribed recordings. The connections are based on content meaning regardless of format.

How is this different from regular search?
Regular search starts with a typed query. Similar search starts with an existing item in your workspace. It is useful when you cannot easily describe what you are looking for in words, or when you want to explore connections around a specific piece of content.

How is this different from Explorer?
Explorer provides a spatial, visual overview of your entire workspace with relationships shown between all items. Similar search is more targeted. You select one item and get a focused list of related content. Explorer is for open-ended browsing. Similar search is for directed discovery.

Does visual similarity work for images?
Yes. When you select an image, similar search considers both visual attributes (color, composition, subject matter) and any associated metadata or descriptions. This is useful for finding visually related assets without manual tagging.

Can I use the results for further work?
Yes. You can organize similar search results into a folder, pull them onto a canvas, ask your AI assistant to summarize them, or use them as a starting point for deeper research.

Does similar search get better over time?
As your workspace grows and Fabric's smart organization develops a richer understanding of your content, the relationships it surfaces become more nuanced and accurate. More content means more potential connections.

Is similar search available on all plans?
Similar search is available across all Fabric plans. See pricing for a full feature comparison.

Can I find similar content from a specific folder or space?
Yes. You can scope similar search to a specific folder or space, or search across your entire workspace. Scoping is useful when you want to find related content within a specific project or collection.