docs/components/rerankers/overview.mdx
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>reranker block to your config.rerank flag.