llama-index-vector-stores-analyticdb 0.1.1

llama-index vector_stores analyticdb integration

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.