This release is a pre-release and may not be stable for production use.
PyMongo-VoyageAI
PyMongo integration with VoyageAI for multimodal embedding.
Installation
pip install --pre pymongo-voyageai
Quickstart
Obtain an API key for VoyageAI.
from pymongo_voyageai import PyMongoVoyageAI
# Create our client.
client = PyMongoVoyageAI(
voyageai_api_key=os.environ["VOYAGE_API_KEY"],
mongo_connection_string=os.environ["MONGODB_URI"],
s3_bucket_name="<my-bucket-name>",
collection_name="test",
database_name="tests",
)
# Load data from a pdf url.
url = "https://www.fdrlibrary.org/documents/356632/390886/readingcopy.pdf"
images = client.url_to_images(url)
resp = client.add_documents(images)
# Wait for the vector search index to update.
client.wait_for_indexing()
# Query the embeddings, extracting the images.
query = "The consequences of a dictator's peace"
data = client.similarity_search(query, extract_images=True)
# Display the best image match.
data[0]["inputs"][0].image.show()
# Clean up and close the client.
client.delete_many({})
client.close()
1 maintainer
Metadata
1 maintainer
Release files for pymongo-voyageai 0.1.0a0
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