Vector Database

What is a Vector Database?

Vector databases are a type of database that stores data as high-dimensional vectors. These vectors are used to represent the semantic or contextual meaning of data. Vector databases are used for vector search, which is a type of search that finds the most similar or relevant data based on their vector distance or similarity.

How does SuperAGI agent use a Vector Database?

The agent can use the vector database to perform a knowledge search and fetch relevant info from connected knowledge stores to achieve the goal.

Which vector databases are currently supported?

Currently, SuperAGI supports cloud hosted Weaviate, Pinecone and QDrant. Support for other popular vector databases like Milvus, Redis, will be added subsequently.

Navigate to the below sections to learn how to set up your Vector Database.

📄️ Pinecone

Setting up Pinecone with SuperAGI

📄️ Qdrant

Setting up Qdrant with SuperAGI

📄️ Weaviate

Setting up Weaviate with SuperAGI

📄️ Using Marketplace Knowledge

To use Marketplace Knowledge, follow the given steps:

📄️ Using Custom Knowledge

To add custom knowledge select Knowledge in left panel, and click Add Knowledge button

📄️ Update your Vector Database

1. To later update your vector database, select the database you’d like to update

📄️ Delete your Vector Database

Select the vector database to be deleted and click on Uninstall.