Vector DB

A vector database is a specialized database that stores and indexes high-dimensional vectors (numerical representations of data like text, images, or audio). In AI, it enables semantic search — finding content by meaning rather than exact keyword matches. It is the backbone of RAG (Retrieval-Augmented Generation) pipelines and Knowledge DBs.

Vector DB List

The Vector DB page under Configuration > Vector DB displays all registered vector database connections. Use the Search, Type, and Status filters to find specific entries. Toggle between card view and table view using the icons in the top-right corner.

Each entry shows:

Column	Description
Display Name	The name of the vector DB connection. One entry can be marked as Default.
DB Type	The vector database engine (e.g., Qdrant).
Host	The hostname or address of the vector DB instance.
Port	The port number for the connection.
Status	ACTIVE or INACTIVE.
Updated at	The last modified timestamp.
Actions	Edit or delete the connection.

Add a Vector DB

1. Click + Add Vector DB.
2. Fill in the required fields and click Save.

Field	Required	Description
Vector DB Type	Yes	The database engine (e.g., Qdrant).
Display Name	Yes	A unique name for the connection.
Host	Yes	The server address (e.g., qdrant.aiops.svc.cluster.local).
Port	Yes	The connection port (e.g., 6333).
Access Key	No	Authentication key for the vector DB instance.
Description	No	A brief description of the connection.
Status	No	Toggle the connection Active or Inactive. Defaults to Active.
Set as default	No	When enabled, new Knowledge DBs will use this vector store by default.

Edit a Vector DB

1. Click the edit icon (pencil) on the entry you want to modify.
2. Update the fields as needed.
3. Click Save.

Delete a Vector DB

1. Click the delete icon (trash) on the entry you want to remove.
2. Type the exact display name to confirm.
3. Click Delete.