Skip to main content

Swarmauri Neo4j Vector Store

Project description

Swamauri 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-0.7.5.dev1.tar.gz (7.7 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-0.7.5.dev1.tar.gz.

File metadata

File hashes

Hashes for swarmauri_vectorstore_neo4j-0.7.5.dev1.tar.gz
Algorithm Hash digest
SHA256 1d3b3cf58b0375f8ae4ad0e8dfa6348e32f48f550c635de49c6dd2ac33456d49
MD5 5358bc465a6649e3e6381673dfd0b04e
BLAKE2b-256 0a0b0de14eafde1e9e90033380636accca156c16a11fdeaeedd0069503723ebc

See more details on using hashes here.

File details

Details for the file swarmauri_vectorstore_neo4j-0.7.5.dev1-py3-none-any.whl.

File metadata

File hashes

Hashes for swarmauri_vectorstore_neo4j-0.7.5.dev1-py3-none-any.whl
Algorithm Hash digest
SHA256 f117923fd794dd2670e330c1acf83c31beb988f90fe40bed84cdf6cdfaab297e
MD5 4f453b24b6a273913efec9a3b4a2c923
BLAKE2b-256 7081d183b9472b106c32e1186aa2fd580091f15168aa457e9aac9745f02d1511

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