swarmauri_vectorstore_persistentchromadb 0.9.0

A Persistent ChromaDB based Vector Store

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Swarmauri Vectorstore Persistentchromadb

A persistent vector store implementation using ChromaDB for document storage and retrieval with embeddings.

Installation

pip install swarmauri_vectorstore_persistentchromadb

Usage

from swarmauri.documents.Document import Document
from swarmauri.vector_stores.PersistentChromaDBVectorStore import PersistentChromaDBVectorStore

# Initialize the vector store
vector_store = PersistentChromaDBVectorStore(
    path="./chromadb_data",
    collection_name="my_collection",
    vector_size=100
)

# Connect to the store
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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