Overview - Mem0

Supported Rerankers

Cohere

Sentence Transformers

Hugging Face

LLM Reranker

Zero Entropy

All five rerankers are available in both the Python and the TypeScript self-hosted SDKs. Each provider page has a TypeScript (self-hosted) section with the camelCase config.

Reranking Workflow

Understand Reranking
Configure Providers
Optimize Performance
Custom Prompts
Zero Entropy Guide
Sentence Transformers

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
Example: Reranker Search