> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cognigy.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Fuzzy Search
## Description
The Fuzzy Search Node searches through a list of strings of source data using a search pattern during the Flow execution. This Node returns the best possible matches based on a set of parameters.
The Node assigns each match a score between 0 and 1, where 1 indicates the best match and 0 the worst based on the search pattern.
The matches can be stored in either the [Context](/ai/agents/develop/ai-agent-memory/context) or [Input](/ai/agents/develop/ai-agent-memory/input) object.
## Parameters
| Parameter | Type | Description |
| -------------- | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Search Pattern | String | The string to search for in the source data. The Fuzzy Search Node compares this pattern against each element in the array and returns the best matches. Example: `Aple`, `Jon`. |
| Source Data | JSON | A CognigyScript reference to the array that should be searched. The reference can point to the Context, Input, or Profile object. The type must be set to `array`. Example: `{ "$cs": { "script": "context.names", "type": "array" } }`. |
| Parameter | Type | Description |
| ------------------ | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Is Case Sensitive | Boolean | Specify whether comparisons should be case-sensitive. |
| Include Score | Boolean | Specify whether the score should be included in the result set. |
| Include Matches | Boolean | Specify whether the matches should be included in the result set. When active, each record in the result set includes the indices of the matched characters. |
| Minimum Characters | Number | Only the matches whose length exceeds this value is returned. |
| Should Sort | Boolean | Specify whether to sort the result list by score. |
| Parameter | Type | Description |
| ---------------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| Find All Matches | Boolean | When activated, the matching function continues to the end of a search pattern even if a perfect match has already been located in the string. |
| Location | Number | Determine approximately where in the text the pattern is expected to be found. |
| Threshold | Number | At what point does the match algorithm give up. A threshold of 1 requires a perfect match (of both letters and location), a threshold of 0.0 would match anything. |
| Distance | Number | Determine how close the match must be to the fuzzy location (specified by Location). |
| Ignore Location | Boolean | When activated, the search ignores Location and Distance, so it won't matter where in the string the pattern appears. |
| Parameter | Type | Description |
| ------------------------- | ------ | -------------------------------------------------------------------- |
| Where to store the result | List | Specify whether the result is stored in the Input or Context object. |
| Input Key to store Result | String | The key to store the result in. |
## Example
In this example, the Fuzzy Search Node searches for the pattern `Jon` in an array of names stored in the Context object at `context.names`. The Node is configured to store the results in the Input object at `input.search`.
The Node returns each name in the array along with a score indicating how closely it matches the search pattern.
1. Add data to the Context object.
```json theme={null}
{
"names": ["John", "Jonathan", "Johnny", "Alice", "Bob"]
}
```
2. Specify the search pattern in the Fuzzy Search Node.
```txt theme={null}
Jon
```
3. Specify the path for the source data in the Fuzzy Search Node.
```json theme={null}
{
"$cs":{
"script":"context.names",
"type":"array"
}
}
```
4. Check the search results in the Input object.
```json theme={null}
{
"search": [
{
"item": "Jonathan",
"refIndex": 1,
"score": 0.999
},
{
"item": "John",
"refIndex": 0,
"score": 0.6666666666666667
},
{
"item": "Johnny",
"refIndex": 2,
"score": 0.6666666666666667
},
{
"item": "Bob",
"refIndex": 4,
"score": 0.33333333333333337
}
]
}
```
## Troubleshooting
This error occurs when the source data provided to the Fuzzy Search Node isn't an array. The Node expects an array of strings to iterate over and calculate similarity scores.