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davidmyriel
2024-11-18 15:04:17 -08:00
parent bd6c2fe1d3
commit 93e1e05286
2 changed files with 4 additions and 4 deletions
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qdrant-landing/content/advanced-search/advanced-search-features.md
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@@ -28,12 +28,12 @@ features:
description: Qdrant's capability extends to multi-modal search, indexing and retrieving various data forms (text, images, audio) once vectorized, facilitating a comprehensive search experience. description: Qdrant's capability extends to multi-modal search, indexing and retrieving various data forms (text, images, audio) once vectorized, facilitating a comprehensive search experience.
link: link:
text: View Tutorial text: View Tutorial
url: /documentation/tutorials/aleph-alpha-search/ url: /documentation/tutorials/multimodal-search-fastembed/
- id: 3 - id: 3
icon: icon:
src: /icons/outline/filter-blue.svg src: /icons/outline/filter-blue.svg
alt: Filter alt: Filter
title: Single Stage filtering that Works title: Single Stage filtering That Works
description: Qdrant enhances search speeds and control and context understanding through filtering on any nested entry in our payload. Unique architecture allows Qdrant to avoid expensive pre-filtering and post-filtering stages, making search faster and accurate. description: Qdrant enhances search speeds and control and context understanding through filtering on any nested entry in our payload. Unique architecture allows Qdrant to avoid expensive pre-filtering and post-filtering stages, making search faster and accurate.
link: link:
text: Learn More text: Learn More
qdrant-landing/content/advanced-search/advanced-search-use-cases.md
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@@ -14,11 +14,11 @@ features:
image: image:
src: /img/advanced-search-use-cases/multimodal-semantic-search.svg src: /img/advanced-search-use-cases/multimodal-semantic-search.svg
alt: Multimodal Semantic Search alt: Multimodal Semantic Search
title: Multimodal Semantic Search with Aleph Alpha title: Multimodal Semantic Search with FastEmbed
description: This tutorial shows you how to run a proper multimodal semantic search system with a few lines of code, without the need to annotate the data or train your networks. description: This tutorial shows you how to run a proper multimodal semantic search system with a few lines of code, without the need to annotate the data or train your networks.
link: link:
text: View Tutorial text: View Tutorial
url: /documentation/examples/aleph-alpha-search/ url: /documentation/tutorials/multimodal-search-fastembed/
- id: 2 - id: 2
image: image:
src: /img/advanced-search-use-cases/simple-neural-search.svg src: /img/advanced-search-use-cases/simple-neural-search.svg