How do I configure the Vector Store retriever node?#
Vector stores are specially designed databases used to store a one-dimensional array of numerical data used to map bias and weight in machine learning models.
This node will retrieve data from the following vector store nodes to be used in a pathway:
- FeatureBase vector store
- In-memory vector store
Before you begin#
- Learn about pathways
- Learn about Ensemble vector stores
- Learn about the FeatureBase vector store
- Learn about the in-memory vector store
Step 1 - add the node#
- Click + to open the nodes panel
- Search for Vector Store retriever in the node search field.
- Click the node to add it to the canvas.
Step 2 - define node parameters#
Set the number of results to return from a connected vector store.
Next step#
Connect the retriever to a Vector store