A Doc2Vec based Vector Store and Doc2Vec Based Embedding Model.
Project description
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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