Embedbase

<br /> <p align="center"> <img width="150" alt="embedbasevector" src="https://github.com/different-ai/embedbase/assets/11430621/a04174fa-1c0a-4737-9e83-8cfd74f1c16d"> <h1 align="center">Embedbase</h1> <h3 align="center">Hosted embeddings-as-a-service</h3> <p align="center"> <br /> <a href="https://discord.gg/pMNeuGrDky"><img alt="Discord" src="https://img.shields.io/discord/1066022656845025310?color=black&style=for-the-badge"></a> <br /> <div align="center"> <a href="https://app.embedbase.xyz/signup">Try the Hosted Version</a> · <a href="https://github.com/different-ai/embedbase/issues/new?assignees=&labels=enhancement">Request Feature</a> · <a href="https://github.com/different-ai/embedbase/issues/new?assignees=&labels=bug">Report Bug</a> </div> <br /> </p> </p>

Check out the docs for more info.

What is it

Embedbase is a dead-simple API to help you use VectorDBs and LLMs without needing to host them!

Key features

• Generate: use .generateText() to use 9+ LLMs
• Semantic Search: use .add() to create a list of semantically searchable information and .search() to run semantic queries

Installation

npm i embedbase-js

jsCopy
import { createClient } from 'embedbase-js'
// initialize client
const embedbase = createClient(
  'https://api.embedbase.xyz',
  '<grab me here https://app.embedbase.xyz/>'
)
 
const question =
  'im looking for a nice pant that is comfortable and i can both use for work and for climbing'
 
// search for information in a pre-defined dataset and returns the most relevant data
const searchResults = await embedbase.dataset('product-ads').search(question)
 
// transform the results into a string so they can be easily used inside a prompt
const stringifiedSearchResults = searchResults
  .map(result => result.data)
  .join('')
 
const answer = await embedbase
  .useModel('openai/gpt-3.5-turbo')
  .generateText(`${stringifiedSearchResults} ${question}`)
 
console.log(answer) // 'I suggest considering harem pants for your needs. Harem pants are known for their ...'

Table of Contents

• Getting started
• Javascript SDK
• Docs and support
• Integrations
• Contributing

What are people building

• Recommendation Engines: AVA uses Embedbase to help their users find related notes
• Chat with your data: Solpilot uses Embedbase to put smart contract integration on autopilot
• Talk to your docs: ChatGPT-powered search for markdown documentation

The fastest way to get started with Embedbase is signing up for free to Embedbase Cloud.

Docs and support

Check out our tutorials for step-by-step guides, how-to's, and best practices, our documentation is powered by GPT-4, so you can ask question directly.

Ask a question in our Discord community to get support.

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.