Knowledge Search¶
Description¶
Removal of the Knowledge Search Node
The Knowledge Search Node was removed from Cognigy.AI in version 4.61. If you use this Node, it will still work, but you won't be able to create new Knowledge Search Nodes. To ensure a seamless transition, we strongly recommend using the Search Extract Output Node, as it offers the same functionality and additional features.
This Node searches and retrieves content from data that was previously uploaded to the Knowledge AI solution.
Before using this Node, ensure that you have a text-embedding-ada-002 LLM configured. Refer to the list of supported providers.
To display the output of the Knowledge Search Node to the user, follow these steps:
- In the Flow editor, add a Say Node below the Knowledge Search Node.
- In the Output Type field, select Text.
- In the Text field, click
and select the KSearch:TopK Texts Token. - Click Save Node.
Settings¶
Knowledge Store¶
Select a store from the list to allow the Node to retrieve the data.
Search Settings¶
| Parameter | Type | Description |
|---|---|---|
| Top K | Number | The Number of optimal matching chunks that the Knowledge AI solution should provide. |
| Where to store the result | Select | The storage for the search results. Select a storage: - Input — the content will be stored in the Input object. - Context — the content will be stored in the Context. |
| Input Key to store result | CognigyScript | The location in the input object where the result will be stored. For example, input.knowledgeSearch. |
| Input Context to store result | CognigyScript | The location in the context object where the result will be stored. For example, context.knowledgeSearch. |