Ana içeriğe geç

Gemini

Usage

import { Gemini, Settings, GEMINI_MODEL } from "llamaindex";

Settings.llm = new Gemini({
model: GEMINI_MODEL.GEMINI_PRO,
});

Load and index documents

For this example, we will use a single document. In a real-world scenario, you would have multiple documents to index.

const document = new Document({ text: essay, id_: "essay" });

const index = await VectorStoreIndex.fromDocuments([document]);

Query

const queryEngine = index.asQueryEngine();

const query = "What is the meaning of life?";

const results = await queryEngine.query({
query,
});

Full Example

import {
Gemini,
Document,
VectorStoreIndex,
Settings,
GEMINI_MODEL,
} from "llamaindex";

Settings.llm = new Gemini({
model: GEMINI_MODEL.GEMINI_PRO,
});

async function main() {
const document = new Document({ text: essay, id_: "essay" });

// Load and index documents
const index = await VectorStoreIndex.fromDocuments([document]);

// Create a query engine
const queryEngine = index.asQueryEngine({
retriever,
});

const query = "What is the meaning of life?";

// Query
const response = await queryEngine.query({
query,
});

// Log the response
console.log(response.response);
}