FastGPT is an open-source knowledge-based question answering platform built on large language models (LLMs). It provides out-of-the-box capabilities like data processing, model inference, and retrieval-augmented generation (RAG).
Some key features of FastGPT:
Data Processing
- Supports importing data from various sources like text, PDFs, Word docs, web URLs, etc.
- Automatically chunks and processes data for QA
- Allows manual data entry and segmentation
Workflow Orchestration
- Visual workflow builder to design complex question-answering flows
- Integrate external tools and APIs
Model Support
- Works with different LLMs like GPT, Claude, Wudao, etc.
- Aligns with OpenAI's API for easy integration
Debugging
- Search and test the knowledge base
- View full context and intermediate outputs
- Provide feedback on citations
Deployment
- Quick deployment on Sealos cloud
- Embed in websites/apps via iframes
- Share and collaborate on conversations[1,3]
FastGPT aims to provide an easy-to-use platform for building customized AI assistants by leveraging LLMs and allowing orchestration of complex QA workflows.[1,3]
There is another project also called "fastGPT" which is a fast GPT-2 inference implementation written in Fortran, unrelated to the knowledge platform described above.