- MAPPING
- DISCOVERY
- QUERYING
- HUMAN
Short answer
How can I find hidden links in my data using AI?
Your agent uses Cognee to map out how different pieces of information relate to one another. It builds a graph of facts so you can ask questions that require connecting multiple dots at once. You'll see how these connections surface through the following breakdown.
The outcomes
Where your insights land
The agent processes your raw information into structured relationships.
MAPPING
Structured fact graphs
The agent organizes your data into a web of entities and relationships. You get a clear view of how information is actually linked.
DISCOVERY
Non-obvious connections
The AI identifies patterns and links between distant data points. This reveals insights that aren't visible in a standard list or table.
QUERYING
Natural language search
You ask questions in plain English instead of writing complex code. The agent traverses the graph to find the specific answers you need.
HUMAN
Manual verification
You review the connections the AI suggests. This ensures the logic holds up before you act on the discovered links.
The workflow
What your AI does when the data arrives.
The agent moves from raw input to a searchable knowledge structure.
Extracting entities
The agent scans your input to identify the core subjects and objects within the text.
cognee_searchBuilding relationships
It determines how those entities interact and creates the edges of the graph.
cognee_searchIndexing the graph
The agent stores these connections so they can be queried instantly.
cognee_searchTraversing links
When you ask a question, the agent follows the paths between nodes to find the answer.
cognee_search
Try it
Copy these to start.
Use these prompts once you have connected Cognee.
Starting points
These are opening lines. Swap the bracketed text for your specific files or data sources.
Cognee Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Cognee capabilities are ready to use.
{
"mcpServers": {
"cognee-mcp": {
"url": "https://edge.vinkius.com/vk_preview_c6i3hXOYfoGrkpkYTLcBWkNZG3FKUa2WjFOiOwHJ/mcp"
}
}
}Map out the relationships between the entities in [this project brief].
Find any indirect connections between the customers mentioned in [these meeting notes].
Search the graph to find how the technical requirements in [this doc] relate to our current hardware list.
Identify the non-obvious links between [these three research papers].
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Cognee once, then ask.
Just link your account to get started. Your credentials stay encrypted, and you can jump straight into querying your data.
Connect Cognee to your AIFAQ
How this task behaves
- 01
Can the AI change my original files?
No. The AI only reads your data to build the graph; it cannot edit or delete your source files.
- 02
Does it work with any data format?
It works with the data you provide through the connection, but it relies on the text being readable to extract facts.
- 03
Will it automatically update the graph when I add new files?
The AI builds the graph based on the data it is given during the session.
- 04
Can the AI delete connections it makes?
No. The AI only generates the graph structure for your queries. It has no permission to modify the stored graph once it is built.
- 05
Do I need to write code to query the graph?
No. You use natural language to ask questions, and the agent handles the traversal.
More questions about Cognee? The Connector page answers them. See everything the Cognee Connector can do
Connect Cognee to Claude, Cursor, ChatGPT & more
