Question 1

Can NoClick search Upstash Vector by similarity?

Accepted Answer

Yes. The node runs Query / Search against your stored embeddings and also supports Query by Text, which embeds the query string for you before searching. You can wire the top matches into an AI step to build retrieval-augmented answers on top of your own data.

Question 2

Do I have to generate embeddings myself before storing them?

Accepted Answer

No. Upstash Vector has built-in embedding models, so the node can Upsert Text or Upload and Index a Document and let the database create the vectors. If you already have embeddings, Upsert Vectors stores them directly instead.

Question 3

How do I connect the Upstash Vector node?

Accepted Answer

Connect it with your Upstash Vector REST endpoint URL and token, which you copy from the database's dashboard. Once the credential is saved, every operation from Query and Upsert to Database Info runs against that database.

Question 4

Can a workflow react automatically when new data arrives?

Accepted Answer

The Upstash Vector node is request and response only, so it does not fire on its own. Trigger the workflow from another node, a schedule, or an inbound event, and then have it upsert or query vectors as part of that run.

Question 5

Can it manage namespaces and clean up old vectors?

Accepted Answer

Yes. Operations run within a namespace, and Reset Namespace clears one so you can rebuild it from scratch. You can also List Vectors by range and Delete Vectors to prune records you no longer want indexed.

Upstash Vector Integration

What you can automate with Upstash Vector

Upstash Vector Operations

Vectors6

Query

Upsert

Fetch

Delete

Range

Update

Text3

Query Text

Upsert Text

Upload Index

Index2

Info

Reset

Frequently asked questions

Use Upstash Vector as an AI agent tool

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