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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 - Implement connection and query management with psycopg2 - Provide configuration template for easy setup - Add comprehensive unit tests The implementation allows Llama Stack users to leverage OpenGauss as an enterprise-grade vector database for RAG applications. Users can configure their environment through a simple YAML configuration and environment variables. |
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| .. | ||
| __init__.py | ||
| agents.py | ||
| datasetio.py | ||
| eval.py | ||
| files.py | ||
| inference.py | ||
| post_training.py | ||
| safety.py | ||
| scoring.py | ||
| telemetry.py | ||
| tool_runtime.py | ||
| vector_io.py | ||