# Retrievers

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Retriever nodes return documents given an unstructured query. It is more general than a vector store. A retriever does not need to be able to store documents, only to return (or retrieve) them.

### Retriever Nodes:

* [Cohere Rerank Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/cohere-rerank-retriever)
* [Embeddings Filter Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/embeddings-filter-retriever)
* [HyDE Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/hyde-retriever)
* [LLM Filter Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/llm-filter-retriever)
* [Multi Query Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/multi-query-retriever)
* [Prompt Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/prompt-retriever)
* [Reciprocal Rank Fusion Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/reciprocal-rank-fusion-retriever)
* [Similarity Score Threshold Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/similarity-score-threshold-retriever)
* [Vector Store Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/vector-store-retriever)
* [Voyage AI Rerank Retriever](https://docs.flowiseai.com/integrations/langchain/retrievers/page)