Knowledge Store - Cognigy Documentation
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
A Knowledge Store provides a centralized and structured environment for managing and categorizing Knowledge Sources. Knowledge Stores help streamline the knowledge management process by grouping related Knowledge Sources, making it easier to search and retrieve relevant information during run-time. You can select Knowledge Stores in Search Extract Output Nodes to retrieve information from Knowledge Sources for your AI Agents. You can create any number of Knowledge Stores per Project.
Prerequisites
- You have added a Large Language Model (LLM) to your Project that supports Knowledge Search.
Restrictions
- All Knowledge Stores within a Project use the same embedding model. After you configure the embedding model of your first Knowledge Store, all other Knowledge Stores will use the same embedding model. If you want to switch to a different embedding model, delete all existing Knowledge Stores in the current Project and create new ones, or create a new Project.
- When you import a Package including a Knowledge Store, the source and target Projects must use the same embedding model. If they use different embedding models, recreate the Knowledge Sources to generate new embeddings with the target Project’s model.
Working with Knowledge Stores
- GUI
- API
- CLI
You can view, create, edit, and delete Knowledge Stores in Build > Knowledge. Also, you can copy Knowledge Stores’ Reference ID and export Knowledge Stores as Packages.
You can view, create, edit, and delete Knowledge Stores using the Cognigy.AI API.
You can create Knowledge Stores using the Cognigy.AI CLI.