diff --git a/README.md b/README.md index 7b3747bd..3f8d4f44 100644 --- a/README.md +++ b/README.md @@ -3,6 +3,8 @@ ## Knowledge Connectors In [Cognigy.AI](https://cognigy.com/product/), [Knowledge Stores](https://docs.cognigy.com/ai/empower/knowledge-ai/knowledge-store/?h=knowled) are used to store information that your AI Agents can access as context through [Knowledge AI](https://docs.cognigy.com/ai/empower/knowledge-ai/overview). Extensions allow you to build JavaScript modules and expose them as [Knowledge Connectors](https://docs.cognigy.com/ai/for-developers/extensions#knowledge-connectors) within Cognigy.AI. Knowledge Connectors can integrate with any third-party system and fetch data or files from external knowledge bases such as Confluence, SharePoint, and more. There are no restrictions on which Node.js modules ([NPM](https://www.npmjs.com/)) or functionality you can use. +The [Confluence Extension](./extensions/confluence) contains an example for a [Knowledge Connector](./extensions/confluence/src/knowledge-connectors/confluenceConnector.ts). + ## Nodes In [Cognigy.AI](https://cognigy.com/product/), you can use [Flows](https://docs.cognigy.com/ai/build/flows/overview/) to build custom AI Agents and you might need to integrate a third-party system to store or retrieve data. Extensions let you build JavaScript modules and expose them as [Nodes](https://docs.cognigy.com/ai/build/node-reference/overview/) within Cognigy.AI. There are no restrictions on node modules ([NPM](https://www.npmjs.com/)) or functionality.