BionicGPT is an on-premise replacement for ChatGPT, offering the advantages of Generative AI while maintaining strict data confidentiality
BionicGPT can run on your laptop or scale into the data center.
- Text Generation
- Connect to Open AI compatible API's i.e. LocalAI
- Select different prompts
- Syntax highlighting for code
- Image Generation
- Connect to stable diffusion
- Authentication
- Email/Password sign in and registration
- SSO
- Teams
- Invite Team Members
- Manage the teams you belong to
- Create new teams
- Switch between teams
- RBAC
- Document Management
- Document Upload
- Allow user to create datasets
- UI for datasets table
- Turn documents into 1K batches and generate embeddings
- OCR for document upload
- Document Pipelines
- Allow user to upload docs via API to datasets
- Process documents and create chunks and embeddings
- Retrieval Augmented Generation
- Parse text out of documents
- Generate Embeddings and store in pgVector
- Add Embeddings to the prompt using similarity search
- Prompt Management
- Create and Edit prompts on a per team basis
- Associate prompts with datasets
- Model Management
- Create/update default prompt fo a model
- Set model location URL.
- Switchable LLM backends.
- Associate models with a command i.e. /image
- Guardrails
- Figure out a strategy
- API
- Create per team API keys
- Attach keys to a prompt
- Revoke keys
- Fine Tuning
- QLORA adapters
- System Admin
- Usage Statistics
- Audit Trail
- Set API limits
- Deployment
- Docker compose so people can test quickly.
- Kubernetes deployment strategy.
- Kubernetes bionicgpt.yaml
- Hardware recommendations.
See the open issues for a full list of proposed features (and known issues).
Download our docker-compose.yml file and run docker-compose up access the user interface on https://localhost:7800/auth/sign_up
curl -O https://raw.githubusercontent.com/purton-tech/bionicgpt/main/docker-compose.ymlThis has been tested on an AMD 2700x with 16GB of ram. The included llama-2-7b-chat model runs on CPU only.
Warning - The images in this docker-compose are large due to having the model weights pre-loaded for convenience.
BionicGPT is optimized to run on Kubernetes and implements the full pipeline of LLM fine tuning from data acquisition to user interface.
