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Vector Database
This is a chromadb based vector database containing indexed embeddings from the hugging face dataset: "Somnath01/Birds_Species".
Usage
import chromadb
from huggingface_hub import snapshot_download
vector_db_path = snapshot_download(
repo_id=vector_dataset.hf_dataset_path,
repo_type="dataset"
)
client = chromadb.PersistentClient(
path=os.path.join(vector_db_path,
"bird_vector_db"))
collection = client.get_collection(name="BIRD")
# get 512*512 image feature vector
neighbors = collection.query(
query_embeddings=[img_features[0].tolist()],
n_results = 2)
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