Search

import { Agentset } from "agentset";

const agentset = new Agentset({
  apiKey: process.env.AGENTSET_API_KEY,
});

const ns = agentset.namespace("YOUR_NAMESPACE_ID");

const results = await ns.search("What is machine learning?");

for (const result of results) {
  console.log(result.text);
}

import os
from agentset import Agentset

client = Agentset(
    namespace_id="YOUR_NAMESPACE_ID",
    token=os.environ["AGENTSET_API_KEY"],
)

results = client.search.execute(query="What is machine learning?")

for result in results.data:
    print(result.text)

const results = await ns.search("quarterly revenue", {
  topK: 20,
});

results = client.search.execute(
    query="quarterly revenue",
    top_k=20,
)

const results = await ns.search("product roadmap", {
  topK: 50,
  rerank: true,
  rerankLimit: 10,
});

results = client.search.execute(
    query="product roadmap",
    top_k=50,
    rerank=True,
    rerank_limit=10,
)

const results = await ns.search("API documentation", {
  minScore: 0.7,
});

results = client.search.execute(
    query="API documentation",
    min_score=0.7,
)

const results = await ns.search("error code 500", {
  mode: "keyword",
});

results = client.search.execute(
    query="error code 500",
    mode="keyword",
)

const results = await ns.search("user authentication", {
  includeMetadata: false,
});

results = client.search.execute(
    query="user authentication",
    include_metadata=False,
)