alicloud-ai-search-opensearch

To push documents with vector embeddings into OpenSearch for similarity search, use the Python SDK ha3engine to index your vector data and execute retrieval queries within the vector search edition.

Yes, you can execute SQL queries against OpenSearch vector data using the Python SDK. The ha3engine supports both traditional HA queries and SQL-style searches for data retrieval.

The best way to integrate vector retrieval into a Retrieval Augmented Generation pipeline is using OpenSearch vector search edition to index document embeddings and retrieve relevant information based on semantic similarity.

Yes, you need to configure environment variables to connect to Alibaba Cloud OpenSearch. Setting these OpenSearch connection parameters is required before pushing documents and executing HA/SQL searches.

Yes, the OpenSearch ha3engine SDK supports traditional HA queries alongside vector search. It enables executing both HA queries and SQL-style queries against your indexed vector data.

Use OpenSearch vector search edition for RAG data retrieval instead of standard queries because it facilitates finding relevant information from a large document corpus based on semantic similarity rather than exact keyword matches.