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feat(vector-io): add OpenGauss vector database provider

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Implement OpenGauss vector database integration for Llama Stack with the following features:
- Add OpenGaussVectorIOAdapter for vector storage and retrieval
- Support native vector similarity search operations
- Provide configuration template for easy setup
- Add comprehensive unit tests
- Align with the latest Llama Stack provider architecture, including KVStore and OpenAI Vector Store Mixin.

The implementation allows Llama Stack users to leverage OpenGauss as an
enterprise-grade vector database for RAG applications.
This commit is contained in:
qifengleqifengle 2025-07-14 16:50:29 +08:00
parent eb07a0f86a
commit 35a0a6cb7b
14 changed files with 802 additions and 15 deletions
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2
tests/integration/vector_io/test_openai_vector_stores.py
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@ -27,6 +27,7 @@ def skip_if_provider_doesnt_support_openai_vector_stores(client_with_models):
"inline::milvus",
"inline::chromadb",
"remote::pgvector",
"remote::opengauss",
"remote::chromadb",
"remote::qdrant",
"inline::qdrant",
@ -48,6 +49,7 @@ def skip_if_provider_doesnt_support_openai_vector_stores_search(client_with_mode
"inline::chromadb",
"inline::qdrant",
"remote::pgvector",
"remote::opengauss",
"remote::chromadb",
"remote::weaviate",
"remote::qdrant",