@ -8,15 +8,18 @@ This is an app that let's you ask questions about any data source by leveraging
2. The data source is detected and loaded into text documents
3. The text documents are embedded using openai embeddings
4. The embeddings are stored as a vector dataset to activeloop's database hub
5. A langchain is created consisting of a LLM model (`gpt-3.5-turbo` by default) and the embedding database index as retriever
5. A langchain is created consisting of a LLM model (`gpt-3.5-turbo` by default) and the vector store as retriever
6. When sending questions to the bot this chain is used as context to answer your questions
7. Finally the chat history is cached locally to enable a [ChatGPT](https://chat.openai.com/) 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 credentials in the newly created .env file. Other options are manually setting of system environment variables, or storing them into `.streamlit/secrets.toml`.
- To run locally or deploy somewhere, execute `cp .env.template .env` and set credentials in the newly created `.env` file. Other options are manually setting of system environment variables, or storing them into `.streamlit/secrets.toml` when hosted via streamlit.
- If you have credentials set like explained above, you can just hit `submit` in the authentication without reentering your credentials in the app.
- To enable `Local Mode` (disabled for the demo) set `ENABLE_LOCAL_MODE` to `True` in `datachad/constants.py`. You need to have the model binaries downloaded and stored inside `./models/`
- Currently supported `Local Mode` OSS models are `GPT4All` and `LlamaCpp`
- If you are running `Local Mode` all your data stays locally on your machine. No API calls are made. Same with the embeddings database which stores its data to `./data/`
- Your data won't load? Feel free to open an Issue or PR and contribute!
- Yes, Chad in `DataChad` refers to the well-known [meme](https://www.google.com/search?q=chad+meme)
@ -27,6 +30,6 @@ This is an app that let's you ask questions about any data source by leveraging
## TODO LIST
If you like to contribute, feel free to grab any task
- [x] Refactor utils, especially the loaders
- [] Add option to choose model and embeddings
- [] Enable fully local / private mode
- [x] Add option to choose model and embeddings
- [x] Enable fully local / private mode
- [ ] Add Image caption and Audio transcription support
Gustav von Zitzewitz
1 year ago