A class for retrieving relevant documents based on a given query. It extends the VectorStoreRetriever class and uses a BaseLanguageModel to generate a hypothetical answer to the query, which is then used to retrieve relevant documents.

Example

const retriever = new HydeRetriever({
vectorStore: new MemoryVectorStore(new OpenAIEmbeddings()),
llm: new ChatOpenAI(),
k: 1,
});
await vectorStore.addDocuments(
[
"My name is John.",
"My name is Bob.",
"My favourite food is pizza.",
"My favourite food is pasta.",
].map((pageContent) => new Document({ pageContent })),
);
const results = await retriever.getRelevantDocuments(
"What is my favourite food?",
);

Type Parameters

Hierarchy

Constructors

Properties

Constructors

Properties

llm: BaseLanguageModelInterface
promptTemplate?: any

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