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);
}