Semantic and hybrid search with meilisearch

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  • License: Apache Software License (Apache-2.0)
  • Author: Anton Kulaga
  • Tags python , llm , science , review , hybrid search , semantic search
  • 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

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for antonkulaga from gravatar.com antonkulaga
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Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache Software License (Apache-2.0)
  • Author: Anton Kulaga
  • Tags python , llm , science , review , hybrid search , semantic search
  • Requires: Python <3.15, >=3.10
Classifiers

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2.5.0 yanked

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typo

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