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convert "Build" tab to "Ecosystem"

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kanungle
2026-03-23 12:35:17 -07:00
parent 1a291d69e4
commit c333a1343c
45 changed files with 76 additions and 74 deletions
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qdrant-landing/content/documentation/search-precision/_index.md
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---
title: Search Enhancement
weight: 27
weight: 1000
# If the index.md file `is_empty`, the sidebar will display the first child link as the main entry
is_empty: true
build:
render: never
partition: build
partition: ecosystem
---
qdrant-landing/content/documentation/search-precision/automate-filtering-with-llms.md
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title: LLM-Powered Filter Automation
weight: 2
weight: 10
alias:
- /documentation/database-tutorials/automate-filtering-with-llms/
---
qdrant-landing/content/documentation/search-precision/reranking-semantic-search.md
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title: Reranking for Better Search
weight: 1
partition: build
partition: ecosystem
aliases:
- ../search-precision
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In Retrieval-Augmented Generation (RAG) systems, irrelevant or missing information can throw off your model's ability to produce accurate, meaningful outputs. One of the best ways to ensure you're feeding your language model the most relevant, context-rich documents is through reranking. It’s a game-changer.
In this guide, we’ll dive into using reranking to boost the relevance of search results in Qdrant. We’ll start with an easy use case that leverages the Cohere Rerank model. Then, we’ll take it up a notch by exploring ColBERT for a more advanced approach. By the time you’re done, you’ll know how to implement [hybrid search](https://qdrant.tech/articles/hybrid-search/), fine-tune reranking models, and significantly improve your accuracy.
In this guide, we’ll dive into using reranking to boost the relevance of search results in Qdrant. We’ll start with an easy use case that leverages the Cohere Rerank model. Then, we’ll take it up a notch by exploring ColBERT for a more advanced approach. By the time you’re done, you’ll know how to implement [hybrid search](/articles/hybrid-search/), fine-tune reranking models, and significantly improve your accuracy.
Ready? Let’s jump in.