Migrate from Pinecone to Lantern Cloud

This guide assumes that you are using Pinecone, and that you want to use Lantern Cloud instead.

Steps

Create a Lantern Cloud database

Sign up for Lantern Cloud and create a database. Obtain a database URL. We'll call this LANTERN_DATABASE_URL.
Install the lantern-pinecone client

The most straightforward way to migrate from Pinecone to Lantern Cloud is by using the lantern-pinecone Python client. Even if you don't want to use lantern-pinecone as your primary data client, you can use it to migrate the data and then interact with your data using another data client.
bash
```
pip install lantern-pinecone
```
Initialize client and migrate

Next, we will initialize the Lantern client.
python
```
import lantern_pinecone

LANTERN_DATABASE_URL = "<your_lantern_database_url>"
lantern_pinecone.init(LANTERN_DATABASE_URL)
```
For optimal performance, provide a list of pinecone_ids to the client. Otherwise, the client will use a workaround to query the Pinecone API to retrieve the IDs. For more details, see [1] [2].

In the example below, we assume that the Pinecone has vectors with sequential ids from 0 to 1000.
python
```
pinecone_ids = list(map(lambda x: str(x), range(1000)))

index = lantern_pinecone.create_from_pinecone(
     api_key=<your_pinecone_api_key>,
     environment=<your_pinecone_environment>,
     index_name=<pinecone_index_name>,
     pinecone_ids=pinecone_ids,
)
```
See the documentation for more details on the lantern-pinecone client.
Final steps

After this step the data will be copied to your database under a table with the same name as your <pinecone_index_name> with HNSW index on embedding column and GIN index on the metadata column

You can view index stats using
python
```
index.describe_index_stats()
```

Support

To read more about the lantern-pinecone client, check out the Github repo.

Reach out to support@lantern.dev for any questions or assistance with migrations. We're happy to help.

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