Skip to main content
PATCH
/
api
/
v1
/
runtime
/
vector-stores
/
{id}
Update vector store (CLI/SDK)
curl --request PATCH \
  --url https://api.runflow.ai/api/v1/runtime/vector-stores/{id} \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "<string>",
  "description": "<string>",
  "llmProviderConfigId": "<string>",
  "llmModelConfigId": "<string>"
}
'

Documentation Index

Fetch the complete documentation index at: https://docs.runflow.ai/llms.txt

Use this file to discover all available pages before exploring further.

Path Parameters

​
id
string
required

Vector store ID or name

Body

application/json
​
name
string

Vector store name

​
description
string

Description

​
type
enum<string>

Change type to KNOWLEDGE (only STRUCTURED → KNOWLEDGE allowed)

Available options:
KNOWLEDGE
​
llmProviderConfigId
string

New LLM Provider Config ID for the embedding credential. Must be sent together with llmModelConfigId. The new model must produce embeddings with the same dimensions as the current config — otherwise stored vectors become unusable.

​
llmModelConfigId
string

New LLM Model Config ID for the embedding model. Must be sent together with llmProviderConfigId. Must be of type EMBEDDING and dimensions must match the current config.

Response

200

Vector store updated successfully.