by botextractai · AI 工具 · ★ 8
Advanced Retrieval-Augmented Generation (RAG) web app This advanced Retrieval-Augmented Generation (RAG) web app is based on the LlamaIndex project using Next.js bootstrapped with create-llama. You might therefore have to install Node.js first. The front-end is a Next.js (React) TypeScript (JavaScript) web app. This web app also contains two different types of agents (tools). The first one is the Wikipedia tool provided by LlamaIndex. The second one is a custom FunctionTool in the file. This custom function writes the first name in lower case letters and the last name in upper case letters.
| Stars | 8 |
| Forks | 1 |
| Language | TypeScript |
| Category | AI 工具 |
| Quality Score | 43.91/100 |
| Last Updated | 2026-06-16 |
| Created | 2024-04-08 |
| Platforms | browser, node |
| Est. Tokens | ~14k |
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ai-web-agent-rag is An advanced Artificial Intelligence (AI) example of a Retrieval-Augmented Generation (RAG) Next.js web app with agents (tools). It is categorized as a AI 工具 with 8 GitHub stars.
ai-web-agent-rag is primarily written in TypeScript.
You can find installation instructions and usage details in the ai-web-agent-rag GitHub repository at github.com/botextractai/ai-web-agent-rag. The project has 8 stars and 1 forks, indicating an active community.