agsamantha/node_modules/langchain/dist/retrievers/contextual_compression.js
2024-10-02 15:15:21 -05:00

49 lines
1.8 KiB
JavaScript

import { BaseRetriever, } from "@langchain/core/retrievers";
/**
* A retriever that wraps a base retriever and compresses the results. It
* retrieves relevant documents based on a given query and then compresses
* these documents using a specified document compressor.
* @example
* ```typescript
* const retriever = new ContextualCompressionRetriever({
* baseCompressor: new LLMChainExtractor(),
* baseRetriever: new HNSWLib().asRetriever(),
* });
* const retrievedDocs = await retriever.getRelevantDocuments(
* "What did the speaker say about Justice Breyer?",
* );
* ```
*/
export class ContextualCompressionRetriever extends BaseRetriever {
static lc_name() {
return "ContextualCompressionRetriever";
}
constructor(fields) {
super(fields);
Object.defineProperty(this, "lc_namespace", {
enumerable: true,
configurable: true,
writable: true,
value: ["langchain", "retrievers", "contextual_compression"]
});
Object.defineProperty(this, "baseCompressor", {
enumerable: true,
configurable: true,
writable: true,
value: void 0
});
Object.defineProperty(this, "baseRetriever", {
enumerable: true,
configurable: true,
writable: true,
value: void 0
});
this.baseCompressor = fields.baseCompressor;
this.baseRetriever = fields.baseRetriever;
}
async _getRelevantDocuments(query, runManager) {
const docs = await this.baseRetriever.getRelevantDocuments(query, runManager?.getChild("base_retriever"));
const compressedDocs = await this.baseCompressor.compressDocuments(docs, query, runManager?.getChild("base_compressor"));
return compressedDocs;
}
}