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dkedar7 / embedchain-fastdash

Built with Fast Dash, this app uses Embedchain, which abstracts the entire process of loading and chunking datasets, creating embeddings, and storing them in a vector database. Embedchain itself uses Langchain and OpenAI's ChatGPT API.
https://chatdocs.dkedar.com/
MIT License
55 stars 21 forks source link

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Embedchain 🤝 Fast Dash

Open in colab Run on Google Cloud

Extract information from custom sources—web pages, YouTube videos, PDF files, and any chunk of custom text.

Input your sources and let GPT4 find answers. This app uses Embedchain, which abstracts the entire process of loading and chunking datasets, creating embeddings, and storing them in a vector database. Embedchain itself uses Langchain and OpenAI's ChatGPT API.

Don't forget to check out Embedchain team's amazing work!

Fast Dash makes it easy to build any LLM-powered web app with just a few lines of code. Here's how an Embedchain app built with Fast Dash looks:

EmbedchainxFastDash Demo hosted here

Try it yourself

About Fast Dash

Fast Dash is a Python module that makes the development of web applications fast and easy. It can build web interfaces for Machine Learning models or showcase any proof of concept without the hassle of developing UI from scratch.

Check out Fast Dash at https://github.com/dkedar7/fast_dash.