Ollama
To use Ollama embeddings, you need to import OllamaEmbedding from @llamaindex/ollama.
Note that you need to pull the embedding model first before using it.
In the example below, we're using the nomic-embed-text model, so you have to call:
ollama pull nomic-embed-textInstallation
npm i llamaindex @llamaindex/ollamapnpm add llamaindex @llamaindex/ollamayarn add llamaindex @llamaindex/ollamabun add llamaindex @llamaindex/ollamaimport { OllamaEmbedding } from "@llamaindex/ollama";
import { Document, Settings, VectorStoreIndex } from "llamaindex";
Settings.embedModel = new OllamaEmbedding({ model: "nomic-embed-text" });
const document = new Document({ text: essay, id_: "essay" });
const index = await VectorStoreIndex.fromDocuments([document]);
const queryEngine = index.asQueryEngine();
const query = "What is the meaning of life?";
const results = await queryEngine.query({
query,
});API Reference
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