## Supported Rerankers

[**Cohere**](https://docs.mem0.ai/components/rerankers/models/cohere)

[**Sentence Transformers**](https://docs.mem0.ai/components/rerankers/models/sentence_transformer)

[**Hugging Face**](https://docs.mem0.ai/components/rerankers/models/huggingface)

[**LLM Reranker**](https://docs.mem0.ai/components/rerankers/models/llm_reranker)

[**Zero Entropy**](https://docs.mem0.ai/components/rerankers/models/zero_entropy)

All five rerankers are available in both the Python and the [TypeScript](https://docs.mem0.ai/open-source/features/reranker-search#typescript-sdk) self-hosted SDKs. Each provider page has a **TypeScript (self-hosted)** section with the camelCase config.

## Reranking Workflow

[**Understand Reranking**](https://docs.mem0.ai/open-source/features/reranker-search)  
[**Configure Providers**](https://docs.mem0.ai/components/rerankers/config)  
[**Optimize Performance**](https://docs.mem0.ai/components/rerankers/optimization)  
[**Custom Prompts**](https://docs.mem0.ai/components/rerankers/custom-prompts)  
[**Zero Entropy Guide**](https://docs.mem0.ai/components/rerankers/models/zero_entropy)  
[**Sentence Transformers**](https://docs.mem0.ai/components/rerankers/models/sentence_transformer)

## 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.

[**Set Up Reranking**](https://docs.mem0.ai/components/rerankers/config)  
[**Example: Reranker Search**](https://docs.mem0.ai/open-source/features/reranker-search)