swarmauri_vectorstore_annoy 0.7.5.dev1

Swarmauri Annoy Vector Store

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Swarmauri VectorStore Annoy

A vector store implementation using Annoy as the backend for efficient similarity search and nearest neighbor queries.

Installation

pip install swarmauri_vectorstore_annoy

Usage

from swarmauri.vector_stores.AnnoyVectorStore import AnnoyVectorStore
from swarmauri_standard.documents.Document import Document

# Initialize vector store
vector_store = AnnoyVectorStore(
    collection_name="my_collection",
    vector_size=100
)
vector_store.connect()

# Add documents
documents = [
    Document(content="first document"),
    Document(content="second document"),
    Document(content="third document")
]
vector_store.add_documents(documents)

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

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