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?
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1 maintainer
Metadata
1 maintainer
Release files for swarmauri_vectorstore_mlm 0.10.0
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Source distribution (sdist)
| File | Size | Uploaded | |
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| swarmauri_vectorstore_mlm-0.10.0.tar.gz | 7.0 kB | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| swarmauri_vectorstore_mlm-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.0 kB
Release files / swarmauri_vectorstore_mlm-0.10.0.tar.gz
| Download URL | swarmauri_vectorstore_mlm-0.10.0.tar.gz |
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| Size | 7.0 kB |
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Release files / swarmauri_vectorstore_mlm-0.10.0-py3-none-any.whl
| Download URL | swarmauri_vectorstore_mlm-0.10.0-py3-none-any.whl |
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| Size | 8.0 kB |
| Tags | Python 3 |
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