Skip to main content

Swarmauri MLM Vector Store

Project description

Swamauri Logo

PyPI - Downloads GitHub 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-0.7.3.dev2.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-0.7.3.dev2.tar.gz.

File metadata

File hashes

Hashes for swarmauri_vectorstore_mlm-0.7.3.dev2.tar.gz
Algorithm Hash digest
SHA256 519cbf3e62b63c2bd46f30dd3636ce9a447f047f15a6982408d7222028bfb26c
MD5 f172f54726387711326cd4d31b725a48
BLAKE2b-256 a922556d3b58d3992c495aef3d4a1df90764636bd2c8c62eefc1dba019c67b8c

See more details on using hashes here.

File details

Details for the file swarmauri_vectorstore_mlm-0.7.3.dev2-py3-none-any.whl.

File metadata

File hashes

Hashes for swarmauri_vectorstore_mlm-0.7.3.dev2-py3-none-any.whl
Algorithm Hash digest
SHA256 bc46e05ef2d95eb8f8e6f21715ce52fa739b62d5a3d1e704269736f6a15e96db
MD5 b87ff63c262c934665c5b7f2cacffedd
BLAKE2b-256 ddf9d703702cb622ff6a7d597ae763b3e71d9cc732cde32645d6f7adf0d6208a

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