Skip to main content

A DuckDB based Vector Store

Project description

Swarmauri Logo

PyPI - Downloads PyPI - Python Version PyPI - License PyPI - Version


DuckDB Vector Store

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

Installation

pip install swarmauri_vectorstore_duckdb

Usage

from swarmauri.vector_stores.DuckDBVectorStore import DuckDBVectorStore
from swarmauri.documents.Document import Document

# Initialize vector store
vector_store = DuckDBVectorStore(database_name="my_vectors.db")
vector_store.connect()

# Add documents
doc = Document(
    id="doc1",
    content="The quick brown fox jumps over the lazy dog",
    metadata={"type": "example"}
)
vector_store.add_document(doc)

# Retrieve similar documents
results = vector_store.retrieve("fox jumping", top_k=2)

# Clean up
vector_store.disconnect()

Want to help?

If you want to contribute to swarmauri-sdk, read up on our guidelines for contributing that will help you get started.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

swarmauri_vectorstore_duckdb-0.7.0.dev9.tar.gz (8.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

File details

Details for the file swarmauri_vectorstore_duckdb-0.7.0.dev9.tar.gz.

File metadata

File hashes

Hashes for swarmauri_vectorstore_duckdb-0.7.0.dev9.tar.gz
Algorithm Hash digest
SHA256 bb73aacbbcb6ec9c16d290d0f3ae8a25c0d2625f4b04af3a61d19338257ffd00
MD5 fc7933338f9e293088b255d26932bca9
BLAKE2b-256 2a810ed8eb4d32cbf553867d29364b272cfa6b47344135c7a9b9fab45d8b0dfb

See more details on using hashes here.

File details

Details for the file swarmauri_vectorstore_duckdb-0.7.0.dev9-py3-none-any.whl.

File metadata

File hashes

Hashes for swarmauri_vectorstore_duckdb-0.7.0.dev9-py3-none-any.whl
Algorithm Hash digest
SHA256 dff5bef2edc5fcee4dbb55ccdc99e77f11abacbf776a84a63bd564bc4fb86715
MD5 fc93aaa595d0a6a62777a3d88e5c5308
BLAKE2b-256 5911f4c43840449f8b4514ec77609ff007ad8f0dc2d37ebc024358951b2b6890

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page