Analytic DB Vector Store
A LlamaIndex vector store using Analytic DB as the backend.
Usage
Pre-requisite:
pip install llama-index-vector-stores-analyticdb
A minimal example:
from llama_index.vector_stores.analyticdb import AnalyticDBVectorStore
vector_store = AnalyticDBVectorStore.from_params(
access_key_id="your-ak", # Your alibaba cloud ram access key id
access_key_secret="your-sk", # Your alibaba cloud ram access key secret
region_id="cn-hangzhou", # Region id of the AnalyticDB instance
instance_id="gp-ab123456", # Your AnalyticDB instance id
account="testaccount", # Account of the AnalyticDB instance
account_password="testpassword", # Account password of the AnalyticDB instance
namespace="llama", # Schema name of the AnalyticDB instance
collection="llama", # Table name of the AnalyticDB instance
namespace_password="llamapassword", # Namespace corresponding password of the AnalyticDB instance
metrics="cosine", # Similarity algorithm, e.g. "cosine", "l2", "ip"
embedding_dimension=1536, # Embedding dimension of the embeddings model used
)
More references
AnalyticDB for PostgreSQL is a massively parallel processing (MPP) data warehousing service that is designed to analyze large volumes of data online.
A more detailed usage guide can be found at this document.
Metadata
Release files for llama-index-vector-stores-analyticdb 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| llama_index_vector_stores_analyticdb-0.6.0.tar.gz | 6.6 kB | Without provenance | Details for llama_index_vector_stores_analyticdb-0.6.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llama_index_vector_stores_analyticdb-0.6.0-py3-none-any.whl | Python 3 | none | any | Details for llama_index_vector_stores_analyticdb-0.6.0-py3-none-any.whl |
Total release size: 13.1 kB
Release files / llama_index_vector_stores_analyticdb-0.6.0.tar.gz
| Download URL | llama_index_vector_stores_analyticdb-0.6.0.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c3a6910f0e1797eaea057e37bfa3accb36c5e97a6f4e8d32d8b6380be0ae9695
|
|
BLAKE2b-256 checksum How to use checksums |
cea3b38da999023f7c21f61d2c1662506e55760e42759beddd67108fa7c1c8ff
|
| 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_analyticdb-0.6.0-py3-none-any.whl
| Download URL | llama_index_vector_stores_analyticdb-0.6.0-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d6aa8ca8ec58d135d94b1d68632f2e3e3c558fff43a1cd944b793d73ec07f39f
|
|
BLAKE2b-256 checksum How to use checksums |
8c58b13982b1af4bf385d30ff0c6d23676447cab0050e50b8acdbb1a5e28195d
|
| 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-analyticdb 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.