LLama2

import { LlamaDeuce, DeuceChatStrategy } from "@llamaindex/replicate";
import { Document, VectorStoreIndex, Settings } from "llamaindex";
 
Settings.llm = new LlamaDeuce({ chatStrategy: DeuceChatStrategy.META });

import { Settings } from "llamaindex";
import { LlamaDeuce, DeuceChatStrategy, ReplicateSession } from "@llamaindex/replicate";
 
const replicateSession = new ReplicateSession({
  replicateKey,
});
 
Settings.llm = new LlamaDeuce({
  chatStrategy: DeuceChatStrategy.META,
  replicateSession,
});

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,
});

import { LlamaDeuce, DeuceChatStrategy } from "@llamaindex/replicate";
import { Document, VectorStoreIndex, Settings } from "llamaindex";
 
// Use the LlamaDeuce LLM
Settings.llm = new LlamaDeuce({ chatStrategy: DeuceChatStrategy.META });
 
async function main() {
  const document = new Document({ text: essay, id_: "essay" });
 
  // Load and index documents
  const index = await VectorStoreIndex.fromDocuments([document]);
 
  // get retriever
  const retriever = index.asRetriever();
 
  // 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);
}