Examples
Save/Load an Index
import {
Document,
storageContextFromDefaults,
VectorStoreIndex,
} from "llamaindex";
import essay from "./essay";
async function main() {
// Create Document object with essay
const document = new Document({ text: essay, id_: "essay" });
// Split text and create embeddings. Store them in a VectorStoreIndex
// persist the vector store automatically with the storage context
const storageContext = await storageContextFromDefaults({
persistDir: "./storage",
});
const index = await VectorStoreIndex.fromDocuments([document], {
storageContext,
});
// Query the index
const queryEngine = index.asQueryEngine();
const response = await queryEngine.query({
query: "What did the author do in college?",
});
// Output response
console.log(response.toString());
// load the index
const secondStorageContext = await storageContextFromDefaults({
persistDir: "./storage",
});
const loadedIndex = await VectorStoreIndex.init({
storageContext: secondStorageContext,
});
const loadedQueryEngine = loadedIndex.asQueryEngine();
const loadedResponse = await loadedQueryEngine.query({
query: "What did the author do growing up?",
});
console.log(loadedResponse.toString());
}
main().catch(console.error);
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