Integrate the Exa (Formerly Metaphor) API with the Python API

Setup the Exa (Formerly Metaphor) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Exa (Formerly Metaphor) and Python remarkably fast. Free for developers.

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Popular Exa (Formerly Metaphor) and Python Actions#

Find Similar Links with the Exa (Formerly Metaphor) API

Find similar links to the link provided. See the documentation](https://docs.metaphor.systems/reference/findsimilar)

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Get Contents of Documents with the Exa (Formerly Metaphor) API

Retrieve contents of documents based on a list of document IDs. See the documentation. It is used to instantly get content for documents, given the IDs of the documents. We currently support extracts - the first 1000 tokens (~750 words) of parsed HTML for a site. Note that each piece of content retrieved costs 1 request. Also note that instant is a little bit of a lie if you are using keyword search, in which case contents might take a few seconds to retrieve.

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Search with the Exa (Formerly Metaphor) API

Perform a search with a Metaphor prompt-engineered query and retrieve a list of relevant results. See the documentation

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Overview of Exa (Formerly Metaphor)#

The Exa (Formerly Metaphor) API enables you to enrich your applications with machine learning-powered insights and data processing capabilities. With Exa, you can perform advanced data analysis, extract meaningful patterns, and automate decision-making processes within your projects. By integrating this API with Pipedream, you can create seamless workflows that leverage these intelligent features alongside other services to streamline your operations, enhance data intelligence, and drive innovation.

Connect Exa (Formerly Metaphor)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    metaphor: {
      type: "app",
      app: "metaphor",
    }
  },
  async run({steps, $}) {
    const data = {
      "query": `test`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.metaphor.systems/search`,
      headers: {
        "accept": `application/json`,
        "Content-Type": `application/json`,
        "x-api-key": `${this.metaphor.$auth.api_key}`,
      },
      data,
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

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