swarmauri_vectorstore_pinecone 0.9.0.dev22

Swarmauri Pinecone Vector Store

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Swarmauri Vectorstore Pinecone

A vector store implementation using Pinecone as the backend for efficient similarity search and document storage.

Installation

pip install swarmauri_vectorstore_pinecone

Usage

from swarmauri.vector_stores.PineconeVectorStore import PineconeVectorStore
from swarmauri.documents.Document import Document

# Initialize vector store
vector_store = PineconeVectorStore(
    api_key="your-pinecone-api-key",
    collection_name="example",
    vector_size=100
)
vector_store.connect()

# Add documents
documents = [
    Document(content="First document"),
    Document(content="Second document"),
]
vector_store.add_documents(documents)

# Retrieve similar documents
results = vector_store.retrieve(query="document", top_k=2)

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