import { test } from "@jest/globals"; import { Document } from "../../../document.js"; import { AttributeInfo } from "../../../schema/query_constructor.js"; import { OpenAIEmbeddings } from "../../../embeddings/openai.js"; import { SelfQueryRetriever } from "../index.js"; import { ChromaTranslator } from "../chroma.js"; import { OpenAI } from "../../../llms/openai.js"; import { Chroma } from "../../../vectorstores/chroma.js"; test.skip("Chroma Store Self Query Retriever Test", async () => { const docs = [ new Document({ pageContent: "A bunch of scientists bring back dinosaurs and mayhem breaks loose", metadata: { year: 1993, rating: 7.7, genre: "science fiction" }, }), new Document({ pageContent: "Leo DiCaprio gets lost in a dream within a dream within a dream within a ...", metadata: { year: 2010, director: "Christopher Nolan", rating: 8.2 }, }), new Document({ pageContent: "A psychologist / detective gets lost in a series of dreams within dreams within dreams and Inception reused the idea", metadata: { year: 2006, director: "Satoshi Kon", rating: 8.6 }, }), new Document({ pageContent: "A bunch of normal-sized women are supremely wholesome and some men pine after them", metadata: { year: 2019, director: "Greta Gerwig", rating: 8.3 }, }), new Document({ pageContent: "Toys come alive and have a blast doing so", metadata: { year: 1995, genre: "animated" }, }), new Document({ pageContent: "Three men walk into the Zone, three men walk out of the Zone", metadata: { year: 1979, director: "Andrei Tarkovsky", genre: "science fiction", rating: 9.9, }, }), ]; const attributeInfo: AttributeInfo[] = [ { name: "genre", description: "The genre of the movie", type: "string or array of strings", }, { name: "year", description: "The year the movie was released", type: "number", }, { name: "director", description: "The director of the movie", type: "string", }, { name: "rating", description: "The rating of the movie (1-10)", type: "number", }, { name: "length", description: "The length of the movie in minutes", type: "number", }, ]; const embeddings = new OpenAIEmbeddings(); const llm = new OpenAI(); const documentContents = "Brief summary of a movie"; const vectorStore = await Chroma.fromDocuments(docs, embeddings, { collectionName: "a-movie-collection", }); const selfQueryRetriever = await SelfQueryRetriever.fromLLM({ llm, vectorStore, documentContents, attributeInfo, structuredQueryTranslator: new ChromaTranslator(), }); const query1 = await selfQueryRetriever.getRelevantDocuments( "Which movies are less than 90 minutes?" ); const query2 = await selfQueryRetriever.getRelevantDocuments( "Which movies are rated higher than 8.5?" ); const query3 = await selfQueryRetriever.getRelevantDocuments( "Which movies are directed by Greta Gerwig?" ); const query4 = await selfQueryRetriever.getRelevantDocuments( "Which movies are either comedy or drama and are less than 90 minutes?" ); console.log(query1, query2, query3, query4); });