Class TimeWeightedVectorStoreRetriever

TimeWeightedVectorStoreRetriever retrieves documents based on their time-weighted relevance. ref: https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/retrievers/time_weighted_retriever.py

Example

const retriever = new TimeWeightedVectorStoreRetriever({
  vectorStore: new MemoryVectorStore(new OpenAIEmbeddings()),
  memoryStream: [],
  searchKwargs: 2,
});
await retriever.addDocuments([
  { pageContent: "My name is John.", metadata: {} },
  { pageContent: "My favourite food is pizza.", metadata: {} },

]);
const results = await retriever.getRelevantDocuments(
  "What is my favourite food?",
);
Copy