Skip to main content

Swarmauri MLM Vector Store

Project description

Swarmauri Logo

PyPI - Downloads Hits PyPI - Python Version PyPI - License PyPI - swarmauri_vectorstore_mlm


Swarmauri Vectorstore Mlm

A vector store implementation using MLM (Masked Language Model) embeddings for document storage and retrieval.

Installation

pip install swarmauri_vectorstore_mlm

Usage

Here's a basic example of how to use the MLM Vector Store:

from swarmauri.documents.Document import Document
from swarmauri.vector_stores.MlmVectorStore import MlmVectorStore

# Initialize the vector store
vs = MlmVectorStore()

# Create some documents
documents = [
    Document(content="first document"),
    Document(content="second document"),
    Document(content="third document")
]

# Add documents to the store
vs.add_documents(documents)

# Retrieve similar documents
results = vs.retrieve(query="document", top_k=2)

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_mlm-0.9.0.tar.gz (7.0 kB view details)

Uploaded Source

Built Distribution

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

swarmauri_vectorstore_mlm-0.9.0-py3-none-any.whl (7.9 kB view details)

Uploaded Python 3

File details

Details for the file swarmauri_vectorstore_mlm-0.9.0.tar.gz.

File metadata

  • Download URL: swarmauri_vectorstore_mlm-0.9.0.tar.gz
  • Upload date:
  • Size: 7.0 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_mlm-0.9.0.tar.gz
Algorithm Hash digest
SHA256 9dcd1e083545ca7495c24c04127d00e8e044d634bdb4322e44229ee4b489df1f
MD5 8c50d43ae9266179609a3d6527074855
BLAKE2b-256 d5a51d7a093a2dbc8f75f24e7ea569eccf80bf3b44cb8589813f86dd82f7533d

See more details on using hashes here.

File details

Details for the file swarmauri_vectorstore_mlm-0.9.0-py3-none-any.whl.

File metadata

  • Download URL: swarmauri_vectorstore_mlm-0.9.0-py3-none-any.whl
  • Upload date:
  • Size: 7.9 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_mlm-0.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 30df2b2bca81577336d4c9e0b8e5d10120a03d27d1d86cb5d1163969b302002e
MD5 e2f4c0fe59e39e3cbe7a84203c842598
BLAKE2b-256 dd775c2b6122207aa74a028b7379ea099603a9ed1426cdb40db8b554209d33cc

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