NOTE: This project is currently unstable and under active development

Pinecone Mock Server

Lightweight server that imitates the Pinecone REST API

Intended to be used for integration tests where it's not suitable to call the Live Pinecone API.

No dependencies, just pure Go

Supports

Operation	Pinecone Endpoint	Supported
Create Index	POST /indexes	Yes
List Indexes	GET /indexes	Yes
Describe Index	GET /indexes/{index_name}	Yes
Delete Index	DELETE /indexes/{index_name}	No
Configure Index	PATCH /indexes/{index_name}	No
Get Index Stats	GET /describe_index_stats	Yes
Upsert Vectors	POST /vectors/upsert	Yes
Query Vectors	POST /query	Yes
Fetch Vectors	GET /vectors/fetch	Yes
Update Vectors	POST /vectors/update	Yes
Delete Vectors	POST /vectors/delete	Yes
List Vectors	GET /vectors/list	Yes
List Collection	GET /collections	No
Create Collection	POST /collections	No
Describe Collection	GET /collections/{collection_name}	No
Delete Collection	GET /collections/{collection_name}	No

Usage

$ go build -o mock main.go

$ ./mock
Server listening on port :8080

Now you can point Pinecone to the server running on :8080

from pinecone import Pinecone

client = Pinecone(host="localhost:8080", api_key="test")

client.create_index("test_index", dimension=3, spec={})

index = client.Index("test_index")

index.upsert([('id1', [1.0, 2.0, 3.0], {'key': 'value'}), ('id2', [1.0, 2.0, 3.0])], namespace="test")

index.update(id="id1", values=[4.0, 5.0, 6.0], set_metadata={"genre": "comedy"}, namespace="test")

next(index.list())
['id1', 'id2']

You can also use the REST API:

≫ curl -XPOST "http://localhost:8080/query" -d'{"topK": 2}' | jq
{
  "matches": [
    {
      "id": "id1",
      "values": [
        4,
        5,
        6
      ],
      "sparseValues": {},
      "metadata": {
        "key": "value",
        "genre": "comedy"
      }
    },
    {
      "id": "id2",
      "values": [
        1,
        2,
        3
      ],
      "sparseValues": {}
    }
  ],
  "namespace": "",
  "usage": {
    "read_units": 2
  }
}