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Fortunately, there are many providers for LLM's and some of them can even be run locally
There are two models used in the app:
- Embeddings.
- Text generation.
By default, we use OpenAI's models but if you want to change it or even run it locally, it's very simple!
Go to .env file or set environment variables:
LLM_NAME=<your Text generation>
API_KEY=<api_key for Text generation>
EMBEDDINGS_NAME=<llm for embeddings>
EMBEDDINGS_KEY=<api_key for embeddings>
VITE_API_STREAMING=<true or false (true if using openai, false for all others)>
You don't need to provide keys if you are happy with users providing theirs, so make sure you set LLM_NAME and EMBEDDINGS_NAME.
Options:
LLM_NAME (openai, manifest, cohere, Arc53/docsgpt-14b, Arc53/docsgpt-7b-falcon, llama.cpp)
EMBEDDINGS_NAME (openai_text-embedding-ada-002, huggingface_sentence-transformers/all-mpnet-base-v2, huggingface_hkunlp/instructor-large, cohere_medium)
If using Llama, set the EMBEDDINGS_NAME to huggingface_sentence-transformers/all-mpnet-base-v2 and be sure to download this model into the models/ folder: https://d3dg1063dc54p9.cloudfront.net/models/docsgpt-7b-f16.gguf.
Alternatively, if you wish to run Llama locally, you can run setup.sh and choose option 1 when prompted. You do not need to manually add the DocsGPT model mentioned above to your models/ folder if you use setup.sh, as the script will manage that step for you.
That's it!
Hosting everything locally and privately (for using our optimised open-source models)
If you are working with important data and don't want anything to leave your premises.
Make sure you set SELF_HOSTED_MODEL as true in your .env variable and for your LLM_NAME you can use anything that's on Hugging Face.