feat: add Azure AI Vector Search

[manekinekko]

Vector Search Capabilities

• Multiple search modes support:
  • Default (vector-only search)
  • Sparse (text-only search)
  • Hybrid (combined vector and text search)
  • Semantic Hybrid (with reranking)
• Configurable vector search algorithms (HNSW and Exhaustive KNN)
• Vector compression support (binary and scalar)
• Customizable top-k results

Index Management

• Three index management modes:
  • No validation
  • Validate index
  • Create if not exists
• Automatic index schema generation
• Configurable field mappings
• Support for hidden fields
• Language analyzer configuration

Document Operations

• Batch document upload with size limits handling
• Document deletion by:
  • Document ID
  • Node IDs
  • Metadata filters
• Node retrieval with filtering
• Metadata field mapping and filtering
• Support for multiple metadata field types

Query Features

• OData filter generation
• Metadata filters support
• Hybrid search capabilities
• Semantic search with reranking
• Async operation support

Customization Options

• Configurable embedding dimensionality
• Custom field mappings
• Flexible metadata handling
• Compression type selection
• Search algorithm selection

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