From 9c25bc2406813bf968e213a35e0bd9e50d4161fa Mon Sep 17 00:00:00 2001 From: Olexandr88 Date: Wed, 29 Oct 2025 16:04:35 +0200 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index c18a276..d365569 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ Cocoon Logo -![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg) +[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/Cocoon-Data-Transformation/cocoon/blob/main/LICENSE) Building a chatbot for your data and pipelines is challenging because they are often too large (e.g., 1,000+ tables) to fit within the LLM context window. Cocoon addresses this by creating a RAG layer for your data and pipelines. With Cocoon's RAG, we offer a cursor-style chatbot for your data tasks.