Skip to main content

TavilySearchAPIRetriever

Tavily’s Search API is a search engine built specifically for AI agents (LLMs), delivering real-time, accurate, and factual results at speed.

Overview​

This will help you getting started with the Tavily Search API retriever. For detailed documentation of all TavilySearchAPIRetriever features and configurations head to the API reference.

Integration details​

RetrieverSourcePackage
TavilySearchAPIRetrieverInformation on the web.@langchain/community

Setup​

You will need to populate a TAVILY_API_KEY environment variable with your Tavily API key or pass it into the constructor as apiKey.

If you want to get automated tracing from individual queries, you can also set your LangSmith API key by uncommenting below:

// process.env.LANGSMITH_API_KEY = "<YOUR API KEY HERE>";
// process.env.LANGSMITH_TRACING = "true";

Installation​

This retriever lives in the @langchain/community package:

tip

See this section for general instructions on installing integration packages.

yarn add @langchain/community

Instantiation​

Now we can instantiate our retriever:

import { TavilySearchAPIRetriever } from "@langchain/community/retrievers/tavily_search_api";

const retriever = new TavilySearchAPIRetriever({
  k: 3,
});

For a full list of allowed arguments, see the official documentation. You can pass any param to the SDK via a kwargs object.

Usage​

const query = "what is the current weather in SF?";

await retriever.invoke(query);
[
  Document {
    pageContent: "{'location': {'name': 'San Francisco', 'region': 'California', 'country': 'United States of America', 'lat': 37.78, 'lon': -122.42, 'tz_id': 'America/Los_Angeles', 'localtime_epoch': 1722900266, 'localtime': '2024-08-05 16:24'}, 'current': {'last_updated_epoch': 1722899700, 'last_updated': '2024-08-05 16:15', 'temp_c': 16.8, 'temp_f': 62.2, 'is_day': 1, 'condition': {'text': 'Partly Cloudy', 'icon': '//cdn.weatherapi.com/weather/64x64/day/116.png', 'code': 1003}, 'wind_mph': 13.2, 'wind_kph': 21.2, 'wind_degree': 261, 'wind_dir': 'W', 'pressure_mb': 1014.0, 'pressure_in': 29.94, 'precip_mm': 0.0, 'precip_in': 0.0, 'humidity': 74, 'cloud': 60, 'feelslike_c': 16.8, 'feelslike_f': 62.2, 'windchill_c': 16.8, 'windchill_f': 62.2, 'heatindex_c': 16.8, 'heatindex_f': 62.2, 'dewpoint_c': 12.3, 'dewpoint_f': 54.1, 'vis_km': 10.0, 'vis_miles': 6.0, 'uv': 5.0, 'gust_mph': 17.3, 'gust_kph': 27.8}}",
    metadata: {
      title: 'Weather in San Francisco',
      source: 'https://www.weatherapi.com/',
      score: 0.9947009,
      images: []
    },
    id: undefined
  },
  Document {
    pageContent: 'Current Weather for Popular Cities . San Francisco, CA 56 ° F Mostly Cloudy; Manhattan, NY warning 85 ° F Fair; Schiller Park, IL (60176) 71 ° F Mostly Cloudy; Boston, MA warning 84 ° F Partly ...',
    metadata: {
      title: 'San Francisco, CA Hourly Weather Forecast | Weather Underground',
      source: 'https://www.wunderground.com/hourly/us/ca/san-francisco/date/2024-08-02',
      score: 0.9859904,
      images: []
    },
    id: undefined
  },
  Document {
    pageContent: 'San Francisco CA 37.77°N 122.41°W (Elev. 131 ft) Last Update: 2:42 pm PDT Aug 4, 2024. Forecast Valid: 5pm PDT Aug 4, 2024-6pm PDT Aug 11, 2024 . Forecast Discussion . Additional Resources. Radar & Satellite Image. Hourly Weather Forecast. ... Severe Weather ; Current Outlook Maps ; Drought ; Fire Weather ; Fronts/Precipitation Maps ; Current ...',
    metadata: {
      title: 'National Weather Service',
      source: 'https://forecast.weather.gov/zipcity.php?inputstring=San+Francisco,CA',
      score: 0.98141783,
      images: []
    },
    id: undefined
  }
]

Use within a chain​

Like other retrievers, TavilySearchAPIRetriever can be incorporated into LLM applications via chains.

We will need a LLM or chat model:

Pick your chat model:

Install dependencies

tip

See this section for general instructions on installing integration packages.

yarn add @langchain/openai

Add environment variables

OPENAI_API_KEY=your-api-key

Instantiate the model

import { ChatOpenAI } from "@langchain/openai";

const llm = new ChatOpenAI({
  model: "gpt-4o-mini",
  temperature: 0
});
import { ChatPromptTemplate } from "@langchain/core/prompts";
import {
  RunnablePassthrough,
  RunnableSequence,
} from "@langchain/core/runnables";
import { StringOutputParser } from "@langchain/core/output_parsers";

import type { Document } from "@langchain/core/documents";

const prompt = ChatPromptTemplate.fromTemplate(`
Answer the question based only on the context provided.

Context: {context}

Question: {question}`);

const formatDocs = (docs: Document[]) => {
  return docs.map((doc) => doc.pageContent).join("\n\n");
};

// See https://js.langchain.com/v0.2/docs/tutorials/rag
const ragChain = RunnableSequence.from([
  {
    context: retriever.pipe(formatDocs),
    question: new RunnablePassthrough(),
  },
  prompt,
  llm,
  new StringOutputParser(),
]);
await ragChain.invoke(query);
The current weather in San Francisco is partly cloudy with a temperature of 16.8°C (62.2°F). The wind is coming from the west at 13.2 mph (21.2 kph), and the humidity is at 74%. There is no precipitation, and visibility is 10 km (6 miles).

API reference​

For detailed documentation of all TavilySearchAPIRetriever features and configurations head to the API reference.

Was this page helpful?


You can also leave detailed feedback on GitHub.