fix(docs): SEO improvements for page titles, internal links, and URL structure (#7224)

This commit is contained in:
Kartik
2026-09-04 20:32:23 +05:30
committed by GitHub
parent 9a7924befd
commit dae67f74f5
100 changed files with 279 additions and 133 deletions
@@ -1,5 +1,7 @@
---
title: Custom Instructions
seo:
title: "Open Source Custom Instructions - Mem0"
description: Tailor fact extraction so Mem0 stores only the details you care about.
icon: "wand-magic-sparkles"
---
@@ -1,5 +1,7 @@
---
title: Multimodal Support
seo:
title: "Open Source Multimodal Support - Mem0"
description: Capture and recall memories from both text and images.
icon: "image"
---
+3 -1
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@@ -1,5 +1,7 @@
---
title: "Overview"
seo:
title: "Open Source Features Overview - Mem0"
description: "Self-hosting features that extend Mem0 beyond basic memory storage"
icon: "list"
---
@@ -36,7 +38,7 @@ Mem0 Open Source ships with capabilities that adapt memory behavior for producti
<Card title="REST API" icon="code" href="/open-source/features/rest-api">
HTTP endpoints for language-agnostic integrations.
</Card>
<Card title="OpenAI Compatibility" icon="message-bot" href="/open-source/features/openai_compatibility">
<Card title="OpenAI Compatibility" icon="message-bot" href="/open-source/features/openai-compatibility">
Drop-in replacement for OpenAI chat endpoints.
</Card>
</CardGroup>
@@ -155,10 +155,10 @@ const memory = new Memory({
<AccordionGroup>
<Accordion title="Supported providers">
- **[Cohere](/components/rerankers/models/cohere)**: Multilingual hosted reranker with API-based scoring.
- **[Sentence Transformer](/components/rerankers/models/sentence_transformer)**: Local Hugging Face cross-encoders for GPU or CPU.
- **[Sentence Transformer](/components/rerankers/models/sentence-transformer)**: Local Hugging Face cross-encoders for GPU or CPU.
- **[Hugging Face](/components/rerankers/models/huggingface)**: Bring any hosted or on-prem reranker model ID.
- **[LLM Reranker](/components/rerankers/models/llm_reranker)**: Use your preferred LLM (OpenAI, etc.) for prompt-driven scoring.
- **[Zero Entropy](/components/rerankers/models/zero_entropy)**: High-quality neural reranking tuned for retrieval tasks.
- **[LLM Reranker](/components/rerankers/models/llm-reranker)**: Use your preferred LLM (OpenAI, etc.) for prompt-driven scoring.
- **[Zero Entropy](/components/rerankers/models/zero-entropy)**: High-quality neural reranking tuned for retrieval tasks.
</Accordion>
<Accordion title="Provider comparison">
| Provider | Latency | Quality | Cost | Local deploy |
@@ -548,7 +548,7 @@ results = m.search(
<Card title="Configure Rerankers" icon="sliders" href="/components/rerankers/config">
Review provider fields, defaults, and environment variables before going live.
</Card>
<Card title="Build a Custom LLM Reranker" icon="sparkles" href="/components/rerankers/models/llm_reranker">
<Card title="Build a Custom LLM Reranker" icon="sparkles" href="/components/rerankers/models/llm-reranker">
Extend scoring with prompt-tuned LLM rerankers for niche workflows.
</Card>
</CardGroup>
+2
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@@ -1,5 +1,7 @@
---
title: "Overview"
seo:
title: "Mem0 Open Source Overview"
description: "Self-host Mem0 with full control over your infrastructure and data"
icon: "house"
---