fix(docs): SEO improvements for page titles, internal links, and URL structure (#7224)
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---
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title: Custom Instructions
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seo:
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title: "Open Source Custom Instructions - Mem0"
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description: Tailor fact extraction so Mem0 stores only the details you care about.
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icon: "wand-magic-sparkles"
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---
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@@ -1,5 +1,7 @@
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---
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title: Multimodal Support
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seo:
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title: "Open Source Multimodal Support - Mem0"
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description: Capture and recall memories from both text and images.
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icon: "image"
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---
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@@ -1,5 +1,7 @@
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---
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title: "Overview"
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seo:
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title: "Open Source Features Overview - Mem0"
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description: "Self-hosting features that extend Mem0 beyond basic memory storage"
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icon: "list"
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---
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@@ -36,7 +38,7 @@ Mem0 Open Source ships with capabilities that adapt memory behavior for producti
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<Card title="REST API" icon="code" href="/open-source/features/rest-api">
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HTTP endpoints for language-agnostic integrations.
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</Card>
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<Card title="OpenAI Compatibility" icon="message-bot" href="/open-source/features/openai_compatibility">
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<Card title="OpenAI Compatibility" icon="message-bot" href="/open-source/features/openai-compatibility">
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Drop-in replacement for OpenAI chat endpoints.
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</Card>
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</CardGroup>
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@@ -155,10 +155,10 @@ const memory = new Memory({
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<AccordionGroup>
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<Accordion title="Supported providers">
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- **[Cohere](/components/rerankers/models/cohere)**: Multilingual hosted reranker with API-based scoring.
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- **[Sentence Transformer](/components/rerankers/models/sentence_transformer)**: Local Hugging Face cross-encoders for GPU or CPU.
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- **[Sentence Transformer](/components/rerankers/models/sentence-transformer)**: Local Hugging Face cross-encoders for GPU or CPU.
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- **[Hugging Face](/components/rerankers/models/huggingface)**: Bring any hosted or on-prem reranker model ID.
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- **[LLM Reranker](/components/rerankers/models/llm_reranker)**: Use your preferred LLM (OpenAI, etc.) for prompt-driven scoring.
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- **[Zero Entropy](/components/rerankers/models/zero_entropy)**: High-quality neural reranking tuned for retrieval tasks.
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- **[LLM Reranker](/components/rerankers/models/llm-reranker)**: Use your preferred LLM (OpenAI, etc.) for prompt-driven scoring.
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- **[Zero Entropy](/components/rerankers/models/zero-entropy)**: High-quality neural reranking tuned for retrieval tasks.
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</Accordion>
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<Accordion title="Provider comparison">
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| Provider | Latency | Quality | Cost | Local deploy |
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@@ -548,7 +548,7 @@ results = m.search(
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<Card title="Configure Rerankers" icon="sliders" href="/components/rerankers/config">
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Review provider fields, defaults, and environment variables before going live.
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</Card>
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<Card title="Build a Custom LLM Reranker" icon="sparkles" href="/components/rerankers/models/llm_reranker">
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<Card title="Build a Custom LLM Reranker" icon="sparkles" href="/components/rerankers/models/llm-reranker">
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Extend scoring with prompt-tuned LLM rerankers for niche workflows.
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</Card>
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</CardGroup>
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@@ -1,5 +1,7 @@
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---
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title: "Overview"
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seo:
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title: "Mem0 Open Source Overview"
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description: "Self-host Mem0 with full control over your infrastructure and data"
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icon: "house"
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---
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