mirror of
https://github.com/run-llama/LlamaIndexTS.git
synced 2026-07-22 23:35:51 -04:00
6a4a73760b
Co-authored-by: Marcus Schiesser <mail@marcusschiesser.de>
48 lines
1.2 KiB
TypeScript
48 lines
1.2 KiB
TypeScript
import { Ollama, OllamaEmbedding } from "@llamaindex/ollama";
|
|
|
|
(async () => {
|
|
const llm = new Ollama({
|
|
model: "llama3",
|
|
config: {
|
|
host: "http://localhost:11434",
|
|
},
|
|
});
|
|
const embedModel = new OllamaEmbedding({ model: "nomic-embed-text" });
|
|
{
|
|
const response = await llm.chat({
|
|
messages: [{ content: "Tell me a joke.", role: "user" }],
|
|
});
|
|
console.log("Response 1:", response.message.content);
|
|
}
|
|
{
|
|
const response = await llm.complete({ prompt: "How are you?" });
|
|
console.log("Response 2:", response.text);
|
|
}
|
|
{
|
|
const response = await llm.chat({
|
|
messages: [{ content: "Tell me a joke.", role: "user" }],
|
|
stream: true,
|
|
});
|
|
console.log("Response 3:");
|
|
for await (const message of response) {
|
|
process.stdout.write(message.delta); // no newline
|
|
}
|
|
console.log(); // newline
|
|
}
|
|
{
|
|
const response = await llm.complete({
|
|
prompt: "How are you?",
|
|
stream: true,
|
|
});
|
|
console.log("Response 4:");
|
|
for await (const message of response) {
|
|
process.stdout.write(message.text); // no newline
|
|
}
|
|
console.log(); // newline
|
|
}
|
|
{
|
|
const embedding = await embedModel.getTextEmbedding("Hello world!");
|
|
console.log("Embedding:", embedding);
|
|
}
|
|
})();
|