FastGPT
Combine FastGPT's capabilities with Zilliz Cloud's vector storage to build powerful QA systems.
Use this integration for FreeAbout FastGPT
FastGPT is a knowledge-based platform built on the use of Large Language Models (LLMs). It offers a comprehensive suite of out-of-the-box capabilities, including data processing, RAG (Retrieval-Augmented Generation) retrieval, and a visual AI workflow orchestrator. These features allow developers to easily create and deploy complex question-answering systems without extensive setup or configuration.
The platform enables workflow orchestration through the “Flow” visualization, facilitating the development of sophisticated question-answering applications. FastGPT's ready-to-use capabilities for data processing and model invocation make it a versatile tool for building AI-powered applications that can handle various query types and knowledge domains.
Why Zilliz Cloud and FastGPT
Zilliz Cloud and FastGPT creates a solution for building advanced knowledge-based question-answering systems. FastGPT's LLM-based platform provides the intelligence and flexibility to process complex queries and generate accurate responses. Zilliz Cloud complements this by offering efficient vector storage and similarity search capabilities, which are crucial for implementing effective RAG retrieval.
By combining FastGPT's AI workflow orchestration with Zilliz Cloud's scalable vector database, developers can create more robust and efficient QA systems. This integration allows for faster retrieval of relevant information, improved accuracy in answering queries, and the ability to handle large-scale knowledge bases effectively.
Learn
The best way to start is with a hands-on tutorial. This tutorial will walk you through how to build a RAG (Retrieval-Augmented Generation) system with FastGPT & Zilliz Cloud (Managed Milvus).