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34 lines
2.0 KiB
Markdown
34 lines
2.0 KiB
Markdown
# GraphRAG Vectors
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This package provides vector store implementations for GraphRAG with support for multiple backends including LanceDB, Azure AI Search, and Azure Cosmos DB. It offers both a convenient configuration-driven API and direct factory access for creating and managing vector stores with flexible index schema definitions.
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## Basic usage with the utility function (recommended)
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This demonstrates the recommended approach to create a vector store using the create_vector_store convenience function with configuration objects that specify the store type and index schema. The example shows setting up a LanceDB vector store with a defined index configuration, then connecting to it and creating the index for vector operations.
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[Open the notebook to explore the basic usage with utility function example code](example_notebooks/basic_usage_with_utility_function_example.ipynb)
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## Basic usage implementing the factory directly
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This example shows a different approach to create vector stores by directly using the vector_store_factory with enum types and dictionary-based initialization arguments. This method provides more direct control over the factory creation process while bypassing the convenience function layer.
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[Open the notebook to explore the basic usage using factory directly example code](example_notebooks/basic_usage_factory_example.ipynb)
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## Supported Vector Stores
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- **LanceDB**: Local vector database
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- **Azure AI Search**: Azure's managed search service with vector capabilities
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- **Azure Cosmos DB**: Azure's NoSQL database with vector search support
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## Custom Vector Store
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You can register custom vector store implementations:
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[Open the notebook to explore the custom vector example code](example_notebooks/basic_usage_factory_example.ipynb)
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## Configuration
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Vector stores are configured using:
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- `VectorStoreConfig`: baseline parameters for the store
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- `IndexSchema`: Schema configuration for the specific index to create/connect to (index name, field names, vector size)
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