Skip to main content

LlamaIndex Vector_Stores Integration: Alibaba Cloud OpenSearch

Please refer to the notebook for usage of AlibabaCloud OpenSearch as vector store in LlamaIndex.

Example Usage

pip install llama-index
pip install llama-index-vector-stores-alibabacloud-opensearch
# Connect to existing instance
from llama_index.core import VectorStoreIndex
from llama_index.vector_stores.alibabacloud_opensearch import (
    AlibabaCloudOpenSearchStore,
    AlibabaCloudOpenSearchConfig,
)

config = AlibabaCloudOpenSearchConfig(
    endpoint="***",
    instance_id="***",
    username="your_username",
    password="your_password",
    table_name="llama",
)

vector_store = AlibabaCloudOpenSearchStore(config)

# 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)

Metadata

Release files for llama-index-vector-stores-alibabacloud-opensearch 0.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for llama-index-vector-stores-alibabacloud-opensearch 0.6.0
File Size Uploaded Provenance Actions
llama_index_vector_stores_alibabacloud_opensearch-0.6.0.tar.gz 7.1 kB Without provenance Details for llama_index_vector_stores_alibabacloud_opensearch-0.6.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for llama-index-vector-stores-alibabacloud-opensearch 0.6.0
File Interpreter ABI Platform Actions
llama_index_vector_stores_alibabacloud_opensearch-0.6.0-py3-none-any.whl Python 3 none any Details for llama_index_vector_stores_alibabacloud_opensearch-0.6.0-py3-none-any.whl

Total release size: 14.2 kB

Release files / llama_index_vector_stores_alibabacloud_opensearch-0.6.0.tar.gz

Download URL llama_index_vector_stores_alibabacloud_opensearch-0.6.0.tar.gz
Size 7.1 kB
Tags Source
SHA-256 checksum
How to use checksums
7463461b674090df8d0cd30755ccea14210dfebdb53d25db2a405c7e9e6bed96
BLAKE2b-256 checksum
How to use checksums
c3d371c8ecd100bc16f1dd7ce520c309262984b575afa3830b9e9bdcce7be107
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / llama_index_vector_stores_alibabacloud_opensearch-0.6.0-py3-none-any.whl

Download URL llama_index_vector_stores_alibabacloud_opensearch-0.6.0-py3-none-any.whl
Size 7.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d5c70c3512197d7d40f5479102bc1b98ed5be24cdf5976d2b9e6be81060cded4
BLAKE2b-256 checksum
How to use checksums
e5b0865931850ae20aee59b6bccd25785056ef3894f07c4d0c93be68a94220a0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for llama-index-vector-stores-alibabacloud-opensearch 0.6.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page