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-0.9.3.dev4.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.

File details

Details for the file swarmauri_vectorstore_mlm-0.9.3.dev4.tar.gz.

File metadata

  • Download URL: swarmauri_vectorstore_mlm-0.9.3.dev4.tar.gz
  • Upload date:
  • Size: 7.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.3 {"installer":{"name":"uv","version":"0.10.3","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-0.9.3.dev4.tar.gz
Algorithm Hash digest
SHA256 d5a791f6cdb9da7df57cf5992f870cbcb501ad959eca430692f50066915504c6
MD5 991bf079f5d90a70bc8778dfd7b2c299
BLAKE2b-256 9e0e258e01516bd5fa97ed9e09299783eaf9905d5d37645b144656748a1933c6

See more details on using hashes here.

File details

Details for the file swarmauri_vectorstore_mlm-0.9.3.dev4-py3-none-any.whl.

File metadata

  • Download URL: swarmauri_vectorstore_mlm-0.9.3.dev4-py3-none-any.whl
  • Upload date:
  • Size: 8.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.10.3 {"installer":{"name":"uv","version":"0.10.3","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-0.9.3.dev4-py3-none-any.whl
Algorithm Hash digest
SHA256 1e73eb311c0630ebf516384a75586d165e6035e4574275ce2834ffad528b502b
MD5 8d9046357ab9d546bbca3157da34a4dc
BLAKE2b-256 a484d29727ae0ed1ddb02a849e0489707621a9698125a6d6e019243d2ad26227

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