Core interfaces for hybrid search implementations (CPU version)

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  • License: Apache Software License (Apache-2.0)
  • Author: Anton Kulaga
  • Tags python , llm , cpu , science , review , hybrid search , semantic search , meilisearch , vector database
  • Requires: Python <3.15, >=3.10
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Project description

Meili Submodule

This submodule provides hybrid search functionality using Meilisearch, combining the power of full-text search with vector similarity search for enhanced search results.

Features

  • 🔄 Hybrid search combining semantic and keyword search with adjustable ratios
  • 🚀 Asynchronous operations support
  • 📦 Automatic vector store enablement
  • 🔑 Configurable authentication and settings
  • 🎯 Support for multiple embedding models
  • 📄 Smart document handling with metadata preservation

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  • License: Apache Software License (Apache-2.0)
  • Author: Anton Kulaga
  • Tags python , llm , cpu , science , review , hybrid search , semantic search , meilisearch , vector database
  • Requires: Python <3.15, >=3.10
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