Just wanted to share Embedbase. Embedbase is an open-source API to easily use OpenAI embeddings in production.
Started out as an internal API for an Obsidian plugin I developed called AVA. We use it in AVA to find similar notes (see small demo), but you can potentially use it to do anything that OpenAI embeddings can do.
Example of a ChatGPT powered for your documentation:
Know the movie Her?
This is using retrieval augmented generation thru https://app.anotherai.co/ which indexed about 1 million of my words with (OpenAI embeddings thru https://embedbase.xyz) written over the years + ChatGPT and Siri
Based on a lot of feedback, we have started integrating the gpt interface directly into our application and this is just the first step to help you ship ChatGPT-powered apps faster. Try the new GPT-4 dashboard here.
Embedbase JS SDK now supports metadata & listing datasets. Imagine throwing unstructured data into embedbase and get all links and everything when searching ala perplexity.ai?
you’re reading the embedbase weekly newsletter, where we share our progress towards building the platform that allows you to easily connect your data to llms (like chatgpt!)
read along to see what we’ve shipped since last week
one-click self-host
click here to
a new one-liner to run embedbase
pip install embedbase && embedbase run
shipped a getting started colab
In addition to that we shipped a google colab (it’s like codesandbox but for python) that allows you to try embedbase using a local embedder and db, running both the api and and python sdk.
whats next?
we’ll make it easy to add data without code
a drop-in js component to create a “chat to your data”
Less than 2 min to go from an idea to a ChatGPT bot you can show to your friends & colleagues.
New feature: Publish your Embedbase Playground
You can now easily share your Embedbase Playground with the public.
a) select data from Embedbase
b) choose a system prompt
c) click on share & copy the link
Embedbase wants to help you ship something in a few minutes, that scales with your needs.
This is just one little step towards helping you ship faster.
you’re reading the embedbase weekly newsletter, where we share our progress towards building a platform that helps you to easily connect your data to llms (like chatgpt!)
đź«š embedbase.generate()
> npm uninstall openai
you no longer need to learn multiple APIs, from context creation to generation, embedbase lets you do it all in one unified and dead simple API.