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feat: add Azure AI Vector Search #1485

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@manekinekko manekinekko commented Nov 14, 2024

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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