npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@oramacloud/client

v1.3.20

Published

Orama SDK for Node.js, Deno, and Browsers

Downloads

12,851

Readme

Orama Cloud Client

Node.js CI

Install

npm i @oramacloud/client

Integrating with Orama Cloud

import { OramaClient } from "@oramacloud/client";

const client = new OramaClient({
  endpoint: "<Your Orama Cloud Endpoint>",
  api_key: "<Your Orama Cloud API Key>",
});

const results = await client.search({
  term: "red leather shoes",
});

Advanced search

const results = await client.search({
  term: "red leather shoes",
  where: {
    price: {
      lte: 9.99,
    },
    gender: "unisex",
  },
  limit: 5,
  offset: 1,
});

Generating embeddings via the Secure Proxy

import { OramaProxy } from "@oramacloud/client";

const proxy = new OramaClient({
  api_key: "<Your Orama Secure Proxy API Key>",
});

const embeddings = await proxy.generateEmbeddings(
  "red leather shoes",
  "openai/text-embedding-ada-002"
);

console.log(embeddings);
// [-0.019633075, -0.00820422, -0.013555876, -0.011825735, 0.006641511, -0.012948156, ...]

Available models:

  • orama/gte-small. 384 dimensions, operated by Orama Cloud (preferred)
  • orama/gte-medium. 768 dimensions, operated by Orama Cloud
  • orama/gte-large. 1024 dimensions, operated by Orama Cloud
  • openai/text-embedding-ada-002. 1536 dimensions, proxied to OpenAI
  • openai/text-embedding-3-small. 1536 dimensions, proxied to OpenAI
  • openai/text-embedding-3-large. 3072 dimensions, proxied to OpenAI

Generating chat completions via the Secure Proxy

You can generate chat completions via the Secure Proxy in two different ways:

Returning a single string

import { OramaProxy } from "@oramacloud/client";

const proxy = new OramaClient({
  api_key: "<Your Orama Secure Proxy API Key>",
});

const chatParams = {
  model: "openai/gpt-4",
  messages: [{ role: "user", content: "Who is Michael Scott?" }],
};

const response = await proxy.chat(chatParams);
console.log(response);

// "Michael Scott is a fictional character from the television show "The Office" (US version) ..."

Available models:

  • openai/gpt-4o
  • openai/gpt-4o-mini
  • openai/gpt-4-turbo
  • openai/gpt-4
  • openai/gpt-3.5-turbo

Returning a stream (via async iterators)

import { OramaProxy } from "@oramacloud/client";

const proxy = new OramaClient({
  api_key: "<Your Orama Secure Proxy API Key>",
});

const chatParams = {
  model: "openai/gpt-4",
  messages: [{ role: "user", content: "Who is Michael Scott?" }],
};

for await (const message of proxy.chatStream(chatParams)) {
  console.log(message);
}

// Michael
// Scott is
// a fictional
//  character from the
//  television show
// "The
// Office" (US
// version)
// ...

Available models:

  • openai/gpt-4o
  • openai/gpt-4o-mini
  • openai/gpt-4-turbo
  • openai/gpt-4
  • openai/gpt-3.5-turbo

With React

import { OramaCloud, useSearch } from "@oramacloud/client/react";

export function App() {
  return (
    <OramaCloud
      endpoint="<Your Orama Cloud Endpoint>"
      apiKey="<Your Orama Cloud API Key>"
    >
      <Search />
    </OramaCloud>
  );
}

function Search() {
  const { results, error } = useSearch({
    term: "red leather shoes",
    limit: 10,
    offset: 5,
  });

  return (
    <>
      {results.hits.map((hit) => {
        <div key={hit.id}>
          <p> {hit.document.myCustomProperty} </p>
        </div>;
      })}
    </>
  );
}

With Vue

Import the composable into your component and it's ready to use.

<template>
  <li v-for="hit in results?.hits" :key="hit.id">
    {{ hit.id }}
  </li>
</template>

<script setup>
import { useSearch } from "@oramacloud/client/vue";
import { orama } from './orama'

const { results } = useSearch({
  cloudConfig: {
    apiKey: "<Your Orama Cloud API Key>",
    endpoint: "<Your Orama Cloud Endpoint>",
  },
  term: "guitar",
  limit: 5
});
</script>

Identifying users

Usage with browsers

  1. Call the .identify() method with the user's unique identifier.
  2. Call .reset() when users log out.

Note: we suggest developers to always call .identify() when users sign-up, log-in or when the user re-opens the application in a logged-in state.

Example or already logged in state:


import { OramaClient } from "@oramacloud/client";

const client = new OramaClient({
  endpoint: "<Your Orama Cloud Endpoint>",
  api_key: "<Your Orama Cloud API Key>",
});

client.identify("<Your unique User ID>");

client.search({
  term: "red leather shoes",
});

Upon logging out:

client.reset();

Usage with server-side applications

  1. Call the .identify() method with the user's unique identifier.
  2. Call .reset() when users log out.

OramaClient will always generate a new userId upon initialization, so we suggest developers to call the .reset() function even when users are not necessarily identified. This will ensure that the client is not associated with the previous user, thus preventing improper data association between sessions.

Usage of Alias

Aliases are employed to link multiple identifiers to a single user, enabling the tracking of anonymous users across different sessions. This is particularly beneficial for monitoring users who are not logged in or who access the platform from various devices.

import { OramaClient } from "@oramacloud/client";

const client = new OramaClient({
  endpoint: "<Your Orama Cloud Endpoint>",
  api_key: "<Your Orama Cloud API Key>",
});

// Sets the alias for the current user
client.alias("<Unique Alias ID>");

client.search({
  term: "red leather shoes",
});