Pinecone Howto

Sign up for a Pinecone account: Go to the Pinecone website and create an account to get started. You'll receive an API key that you'll need for authentication.

Install the Pinecone client: Install the Pinecone client library for your preferred programming language (e.g. Python) using pip: pip install pinecone-client

Initialize Pinecone client: Import and initialize the Pinecone client in your code using your API key: from pinecone import Pinecone; pc = Pinecone(api_key='YOUR_API_KEY')

Create an index: Create a new serverless index specifying the name, dimension of your vectors, and cloud/region: pc.create_index(name='my-index', dimension=1536, spec=ServerlessSpec(cloud='aws', region='us-east-1'))

Connect to your index: Connect to your newly created index: index = pc.Index('my-index')

Upsert vectors: Insert or update vectors in your index: index.upsert(vectors=[{'id': 'vec1', 'values': [0.1, 0.2, ...], 'metadata': {'key': 'value'}}])

Query the index: Perform vector similarity search on your index: results = index.query(vector=[0.1, 0.2, ...], top_k=10)

Process results: Process and use the query results in your application as needed