Swarmauri Vectorstore Doc2vec
A vector store implementation using Doc2Vec for document embedding and similarity search.
Installation
pip install swarmauri_vectorstore_doc2vec
Usage
from swarmauri.vectorstores.Doc2VecVectorStore import Doc2VecVectorStore
from swarmauri.documents.Document import Document
# Initialize vector store
vector_store = Doc2VecVectorStore()
# Add documents
documents = [
Document(content="This is the first document"),
Document(content="Here is another document"),
Document(content="And a third document")
]
vector_store.add_documents(documents)
# Retrieve similar documents
results = vector_store.retrieve(query="document", top_k=2)
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1 maintainer
Metadata
1 maintainer
Release files for swarmauri_vectorstore_doc2vec 0.7.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| swarmauri_vectorstore_doc2vec-0.7.5.tar.gz | 6.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| swarmauri_vectorstore_doc2vec-0.7.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.8 kB
Release files / swarmauri_vectorstore_doc2vec-0.7.5.tar.gz
| Download URL | swarmauri_vectorstore_doc2vec-0.7.5.tar.gz |
|---|---|
| Size | 6.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / swarmauri_vectorstore_doc2vec-0.7.5-py3-none-any.whl
| Download URL | swarmauri_vectorstore_doc2vec-0.7.5-py3-none-any.whl |
|---|---|
| Size | 7.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
uv/0.7.7
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