https://github.com/fxnai/fxn-llm-js

Use local LLMs in your browser and Node.js apps. Register at https://fxn.ai
https://github.com/fxnai/fxn-llm-js

embeddings fxn llm nomic on-device openai-embeddings retrieval retrieval-augmented-generation

Last synced: about 2 months ago
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Use local LLMs in your browser and Node.js apps. Register at https://fxn.ai

• Host: GitHub
• URL: https://github.com/fxnai/fxn-llm-js
• Owner: fxnai
• License: apache-2.0
• Created: 2024-08-16T00:00:14.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-09-18T20:11:15.000Z (about 2 months ago)
• Last Synced: 2024-09-18T20:14:16.621Z (about 2 months ago)
• Topics: embeddings, fxn, llm, nomic, on-device, openai-embeddings, retrieval, retrieval-augmented-generation
• Language: TypeScript
• Homepage: https://fxn-llm-js.vercel.app
• Size: 927 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: Changelog.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
# Function LLM for JavaScript

https://github.com/user-attachments/assets/86ae6012-264e-437f-9ab8-94408f4105ba

[![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fdiscord.com%2Fapi%2Finvites%2Fy5vwgXkz2f%3Fwith_counts%3Dtrue&query=%24.approximate_member_count&logo=discord&logoColor=white&label=Function%20community)](https://fxn.ai/community)

[![X (formerly Twitter) Follow](https://img.shields.io/twitter/follow/fxnai)](https://twitter.com/fxnai)

Use local LLMs in your browser and Node.js apps. This package is designed to patch `OpenAI` and `Anthropic` clients for running inference locally, using predictors hosted on [Function](https://fxn.ai/explore).

> [!TIP]

> We offer a similar package for use in Python. Check out [fxn-llm](https://github.com/fxnai/fxn-llm).

> [!IMPORTANT]

> This package is still a work-in-progress, so the API could change drastically between **all** releases.

> [!CAUTION]

> **Never embed access keys client-side (i.e. in the browser)**. Instead, [create a proxy URL](https://docs.fxn.ai/insiders/keys#in-the-browser) in your backend.

## Installing Function LLM

Function LLM is distributed on NPM. Open a terminal and run the following command:

```bash

# Run this in Terminal

$ npm install fxn-llm

```

> [!IMPORTANT]

> Make sure to create an access key by signing onto [Function](https://fxn.ai/settings/developer). You'll need it to fetch the predictor at runtime.

## Using the OpenAI Client Locally

To run text generation and embedding models locally using the OpenAI client, patch your `OpenAI` instance with the `locally` function:

```ts

import { locally } from "fxn-llm"

import { OpenAI } from "openai"

// 💥 Create your OpenAI client

let openai = new OpenAI({ apiKey: "fxn", dangerouslyAllowBrowser: true });

// 🔥 Make it local

openai = locally(openai, {

  accessKey: process.env.NEXT_PUBLIC_FXN_ACCESS_KEY

});

// 🚀 Generate embeddings

const embeddings = openai.embeddings.create({

  model: "@nomic/nomic-embed-text-v1.5-quant",

  input: "search_query: Hello world!"

});

```

> [!WARNING]

> Currently, only `openai.embeddings.create` is supported. Text generation is coming soon!

___

## Useful Links

- [Discover predictors to use in your apps](https://fxn.ai/explore).

- [Join our Discord community](https://fxn.ai/community).

- [Check out our docs](https://docs.fxn.ai).

- Learn more about us [on our blog](https://blog.fxn.ai).

- Reach out to us at [[email protected]](mailto:[email protected]).

Function is a product of [NatML Inc](https://github.com/natmlx).