Module pinecone.vector
ballerinax/pinecone.vector Ballerina library
Overview
This is a generated connector for the Vector Operations
under Pinecone Vector Database API OpenAPI specification. Pinecone is a fully managed vector database, which allows storing data objects and vector embeddings from the ML models, including the LLMs offered by OpenAI, Hugging Face, and Cohere. The Pinecone vector database makes it easy to build developer-friendly, easily scalable, and high-performance vector search applications without infrastructure hassles.
Prerequisites
Before using this connector in your Ballerina application, complete the following:
- Sign up and log in to Pinecone.
- Create a new project and specify an environment.
- Click on
API Keys
and create an API key.
Quick start
To use the Pinecone.vector connector in your Ballerina application, update the .bal
file as follows:
Step 1: Import the connector
First, import the ballerinax/pinecone.vector
module into the Ballerina project.
import ballerinax/pinecone.vector;
Step 2: Create a new connector instance
Create and initialize a vector:Client
with your Service URL
and the obtained Authentication key
.
vector:Client pineconeVectorClient = check new ({ apiKey: "XXXXX" }, serviceUrl = "https://<index_name>-<project_name>.svc.<environment>.pinecone.io");
Step 3: Invoke the connector operation
- Now, you can use the operations available within the connector. You can describe the statistics of your index as follows.
vector:DescribeIndexStatsResponse indexStats = check pineconeVectorClient->/describe_index_stats.post({});
- Use the
bal run
command to compile and run the Ballerina program.