---
title: Overview
description: 'Pick the right reranker path to boost Mem0 search relevance.'
---

Mem0 rerankers rescore vector search hits so your agents surface the most relevant memories. Use this hub to decide when reranking helps, configure a provider, and fine-tune performance.

<Info>
Reranking trades extra latency for better precision. Start once you have baseline search working and measure before/after relevance.
</Info>

<CardGroup cols={3}>
  <Card
    title="Understand Reranking"
    description="See how reranker-enhanced search changes your retrieval flow."
    icon="search"
    href="/open-source/features/reranker-search"
  />
  <Card
    title="Configure Providers"
    description="Add reranker blocks to your memory configuration."
    icon="settings"
    href="/components/rerankers/config"
  />
  <Card
    title="Optimize Performance"
    description="Balance relevance, latency, and cost with tuning tactics."
    icon="speedometer"
    href="/components/rerankers/optimization"
  />
  <Card
    title="Custom Prompts"
    description="Shape LLM-based reranking with tailored instructions."
    icon="code"
    href="/components/rerankers/custom-prompts"
  />
  <Card
    title="Zero Entropy Guide"
    description="Adopt the managed neural reranker for production workloads."
    icon="sparkles"
    href="/components/rerankers/models/zero_entropy"
  />
  <Card
    title="Sentence Transformers"
    description="Keep reranking on-device with cross-encoder models."
    icon="cpu"
    href="/components/rerankers/models/sentence_transformer"
  />
</CardGroup>

## Picking the Right Reranker

- **API-first** when you need top quality and can absorb request costs (Cohere, Zero Entropy).  
- **Self-hosted** for privacy-sensitive deployments that must stay on your hardware (Sentence Transformer, Hugging Face).  
- **LLM-driven** when you need bespoke scoring logic or complex prompts.  
- **Hybrid** by enabling reranking only on premium journeys to control spend.

## Implementation Checklist

1. Confirm baseline search KPIs so you can measure uplift.  
2. Select a provider and add the `reranker` block to your config.  
3. Test latency impact with production-like query batches.  
4. Decide whether to enable reranking globally or per-search via the `rerank` flag.

<CardGroup cols={2}>
  <Card
    title="Set Up Reranking"
    description="Walk through the configuration fields and defaults."
    icon="settings"
    href="/components/rerankers/config"
  />
  <Card
    title="Example: Reranker Search"
    description="Follow the feature guide to see reranking in action."
    icon="rocket"
    href="/open-source/features/reranker-search"
  />
</CardGroup>
