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GET
/
v5
/
vector-stores
/
{vector_store_name}
Get Vector Store
curl --request GET \
  --url https://api.egp.scale.com/v5/vector-stores/{vector_store_name} \
  --header 'x-api-key: <api-key>'
{
  "name": "<string>",
  "embedding_dimensions": 123,
  "embedding_model": "sentence-transformers/all-MiniLM-L12-v2",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "indexed_metadata_fields": {}
}

Authorizations

​
x-api-key
string
header
required

Headers

​
x-selected-account-id
string | null

Path Parameters

​
vector_store_name
string
required

The name of the vector store

Response

Successful Response

Response model for vector store operations.

​
name
string
required

The name of the vector store

​
embedding_dimensions
integer
required

Dimension size of the embeddings

​
embedding_model
enum<string>
required

The embedding model

Available options:
sentence-transformers/all-MiniLM-L12-v2,
sentence-transformers/all-mpnet-base-v2,
sentence-transformers/multi-qa-distilbert-cos-v1,
sentence-transformers/paraphrase-multilingual-mpnet-base-v2,
openai/text-embedding-ada-002,
openai/text-embedding-3-small,
openai/text-embedding-3-large,
embed-english-v3.0,
embed-english-light-v3.0,
embed-multilingual-v3.0
​
created_at
string<date-time>
required

Timestamp of creation

​
updated_at
string<date-time>
required

Timestamp of last update

​
indexed_metadata_fields
Indexed Metadata Fields · object

Dictionary mapping metadata field names to their types