基础

import os

os.environ[
    "LLAMA_CLOUD_API_KEY"
] = "llx-..."  # can provide API-key in env or in the constructor later on

from llama_cloud_services import LlamaCloudIndex

# connect to existing index
index = LlamaCloudIndex("my_first_index", project_name="Default")

# configure retriever
# alpha=1.0 restricts it to vector search.
retriever = index.as_retriever(
  dense_similarity_top_k=3,
  alpha=1.0,
  enable_reranking=False,
)
nodes = retriever.retrieve("Example query")

import { LlamaCloudIndex } from "llama-cloud-services";

// connect to existing index
const index = new LlamaCloudIndex({
  name: "example-pipeline",
  projectName: "Default",
  apiKey: process.env.LLAMA_CLOUD_API_KEY, // can provide API-key in the constructor or in the env
});

// configure retriever
const retriever = index.asRetriever({
  similarityTopK: 3,
  sparseSimilarityTopK: 3,
  alpha: 0.5,
  enableReranking: true,
  rerankTopN: 3,
});

const nodes = retriever.retrieve({
  query: "Example Query"
});