Main Purpose
The main purpose of the FastGPT website is to provide a knowledge-based question-answering system powered by a large language model (LLM). It offers ready-to-use data processing, model calling capabilities, and workflow orchestration through visual Flow.
Key Features
- Knowledge-Based Question-Answering: FastGPT utilizes a large language model to provide accurate answers to user queries based on its knowledge base.
- Data Processing: The platform offers data processing capabilities to handle and preprocess data for efficient model usage.
- Model Calling: FastGPT provides an interface to easily call the underlying language model for generating responses to user queries.
- Workflow Orchestration: The visual Flow feature allows users to design and orchestrate complex workflows for advanced question-answering scenarios.
Use Case
- Knowledge-Based Q&A: FastGPT is designed to be used as a knowledge-based question-answering system, where users can ask questions and receive accurate answers based on the underlying language model's knowledge base.
- Data Processing and Model Integration: FastGPT can be used to preprocess and handle data efficiently, as well as integrate with the underlying language model for generating responses to user queries.
