LlamaIndex Vector_Stores Integration: Hologres
Please refer to the notebook for usage of Hologres as vector store in LlamaIndex.
Example Usage
pip install llama-index
pip install llama-index-vector-stores-hologres
# Connect to existing instance
from llama_index.core import VectorStoreIndex
from llama_index.vector_stores.hologres import HologresVectorStore
vector_store = HologresVectorStore.from_param(
host="***",
port=80,
user="***",
password="***",
database="***",
table_name="***",
embedding_dimension=1536,
pre_delete_table=True,
)
# Create index from existing stored vectors
index = VectorStoreIndex.from_vector_store(vector_store)
query_engine = index.as_query_engine()
response = query_engine.query(
"What did the author study prior to working on AI?"
)
print(response)
1 maintainer
Metadata
1 maintainer
Release files for llama-index-vector-stores-hologres 0.6.0
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