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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1 maintainer
Metadata
1 maintainer
Release files for swarmauri_vectorstore_pinecone 0.9.3
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Source distribution (sdist)
| File | Size | Uploaded | |
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| swarmauri_vectorstore_pinecone-0.9.3.tar.gz | 8.9 kB | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| swarmauri_vectorstore_pinecone-0.9.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.0 kB
Release files / swarmauri_vectorstore_pinecone-0.9.3.tar.gz
| Download URL | swarmauri_vectorstore_pinecone-0.9.3.tar.gz |
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| Size | 8.9 kB |
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Release files / swarmauri_vectorstore_pinecone-0.9.3-py3-none-any.whl
| Download URL | swarmauri_vectorstore_pinecone-0.9.3-py3-none-any.whl |
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| Size | 10.0 kB |
| Tags | Python 3 |
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