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-0.10.0.dev1.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-0.10.0.dev1.tar.gz.

File metadata

  • Download URL: swarmauri_vectorstore_neo4j-0.10.0.dev1.tar.gz
  • Upload date:
  • Size: 7.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","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-0.10.0.dev1.tar.gz
Algorithm Hash digest
SHA256 39e1c8a91cc1696e3cfc6df7dd25b8a4680c1d81295b6a46a5030dfe44c4352b
MD5 d5905d66dc1ef41a9a61d4ad29e54a78
BLAKE2b-256 b26efddcafe492cc7afd184b220cfb7d2fa633156d5bdb20ea4452303563951e

See more details on using hashes here.

File details

Details for the file swarmauri_vectorstore_neo4j-0.10.0.dev1-py3-none-any.whl.

File metadata

  • Download URL: swarmauri_vectorstore_neo4j-0.10.0.dev1-py3-none-any.whl
  • Upload date:
  • Size: 8.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.12 {"installer":{"name":"uv","version":"0.10.12","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-0.10.0.dev1-py3-none-any.whl
Algorithm Hash digest
SHA256 b0226b84d13812704aa825b2d0258c903fc27a6cf2909fc5033de1112a4330cd
MD5 4f767872124a530406ffc8d918a96c43
BLAKE2b-256 2816bd9ee9051ac6e87da0830f12878dc0f28dc7f495bb3a593828399dca2abc

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