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docs: improve SEO metadata across docs pages

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docs/components/rerankers/models/cohere.mdx
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---
title: Cohere
description: "Configure Cohere as a reranker in Mem0 with support for English and multilingual reranking models."
description: "Use Cohere rerank-v3.5 or older v3.0 models as a Mem0 reranker for English and multilingual search relevance with COHERE_API_KEY authentication."
---
Cohere provides enterprise-grade reranking models with excellent multilingual support and production-ready performance.
docs/components/rerankers/models/huggingface.mdx
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---
title: Hugging Face Reranker
description: 'Access thousands of reranking models from Hugging Face Hub'
description: 'Access thousands of Hugging Face Hub reranking models in Mem0, including BAAI BGE cross-encoders, to boost memory search relevance and precision.'
---
## Overview
docs/components/rerankers/models/llm_reranker.mdx
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title: LLM Reranker
description: 'Use any language model as a reranker with custom prompts'
description: 'Use any Mem0-supported LLM as a reranker with custom prompts to score and rank memories by query relevance for flexible, tunable retrieval.'
---
## Overview
docs/components/rerankers/models/sentence_transformer.mdx
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title: Sentence Transformer
description: 'Local reranking with HuggingFace cross-encoder models'
description: 'Run local reranking in Mem0 with Sentence Transformers cross-encoder models like ms-marco-MiniLM for privacy-focused, on-premises deployments.'
---
Sentence Transformer reranker provides local reranking using HuggingFace cross-encoder models, perfect for privacy-focused deployments where you want to keep data on-premises.
docs/components/rerankers/models/zero_entropy.mdx
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title: Zero Entropy
description: "Configure Zero Entropy neural reranking models in Mem0 with zerank-1 and zerank-1-small support."
description: "Configure Zero Entropy neural reranking in Mem0 with the zerank-1 and zerank-1-small models for fast, high-relevance search over stored memories."
---
[Zero Entropy](https://www.zeroentropy.dev) provides neural reranking models that significantly improve search relevance with fast performance.