| Name | llama-index-vector-stores-hologres JSON |
| Version |
0.4.1
JSON |
| download |
| home_page | None |
| Summary | llama-index vector stores hologres integration |
| upload_time | 2025-09-08 20:49:28 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <4.0,>=3.9 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# LlamaIndex Vector_Stores Integration: Hologres
Please refer to the [notebook](../../../docs/docs/examples/vector_stores/HologresDemo.ipynb) for usage of Hologres as vector store in LlamaIndex.
## Example Usage
```sh
pip install llama-index
pip install llama-index-vector-stores-hologres
```
```python
# 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)
```
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