Skip to main content

Swarmauri Neo4j Vector Store

Project description

Swarmauri Logo

PyPI - Downloads Hits PyPI - Python Version PyPI - License PyPI - swarmauri_vectorstore_neo4j


Swarmauri Vectorstore Neo4j

A Neo4j-based vector store implementation for Swarmauri SDK, providing document storage and retrieval functionality using Neo4j graph database.

Installation

pip install swarmauri_vectorstore_neo4j

Usage

from swarmauri.documents.Document import Document
from swarmauri.vector_stores.Neo4jVectorStore import Neo4jVectorStore

# Initialize the vector store
store = Neo4jVectorStore(
    uri="neo4j://localhost:7687",
    user="neo4j",
    password="your_password"
)

# Add a document
doc = Document(
    id="doc1",
    content="Sample content",
    metadata={"author": "John Doe"}
)
store.add_document(doc)

# Retrieve similar documents
similar_docs = store.retrieve(query="sample", top_k=5)

# Close connection when done
store.close()

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_neo4j-0.9.0.dev22.tar.gz (7.8 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_neo4j-0.9.0.dev22.tar.gz.

File metadata

  • Download URL: swarmauri_vectorstore_neo4j-0.9.0.dev22.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.27 {"installer":{"name":"uv","version":"0.9.27","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for swarmauri_vectorstore_neo4j-0.9.0.dev22.tar.gz
Algorithm Hash digest
SHA256 3576b5a15712eb1ebff998467914356b5d853dfe03c136107baf1e2de72b0785
MD5 d8e1db1001856039d97137988b0a78a3
BLAKE2b-256 85edbfb6fbbff1163eff31f3ba3de53abc78fba8129e560114b42c623e08c8ee

See more details on using hashes here.

File details

Details for the file swarmauri_vectorstore_neo4j-0.9.0.dev22-py3-none-any.whl.

File metadata

  • Download URL: swarmauri_vectorstore_neo4j-0.9.0.dev22-py3-none-any.whl
  • Upload date:
  • Size: 8.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.27 {"installer":{"name":"uv","version":"0.9.27","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for swarmauri_vectorstore_neo4j-0.9.0.dev22-py3-none-any.whl
Algorithm Hash digest
SHA256 434c8191c6f6d24e933d64639616cc2132e9977a19740ba335ea38794f940763
MD5 1cbfc8885d5a5f27b0f0fd4bc8998bb4
BLAKE2b-256 ebd02f89ea2e1ca470ecc88824b513de2cf5a9fd06fbd566ac94e73a06364527

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