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1.4 KiB
1.4 KiB
DataChad 🤖
This is an app that let's you ask questions about any data source by leveraging embeddings, vector databases, large language models and last but not least langchains
How does it work?
- Upload any
file
or enter anypath
orurl
- The data source is detected and loaded into text documents
- The text documents are embedded using openai embeddings
- The embeddings are stored as a vector dataset to a datalake
- A langchain is created consisting of a LLM model (
gpt-3.5-turbo
by default) and the embedding database index as retriever - When sending questions to the bot this chain is used as context to answer your questions
- Finally the chat history is cached locally to enable a ChatGPT like Q&A conversation
Good to know
- As default context this git repository is taken so you can directly start asking question about its functionality without chosing an own data source.
- To run locally or deploy somewhere, execute
cp .env.template .env
and set necessary keys in the newly created secrets file. Another option is to manually set environment variables - Yes, Chad in
DataChad
refers to the well-known meme