From 0612b347d0d51eff42cf588e02d93cf4c8a718a0 Mon Sep 17 00:00:00 2001 From: EdIzaguirre Date: Sun, 4 Aug 2024 18:33:40 -0700 Subject: [PATCH] Updated URL for article on GitHub --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index dd85bd5..359552d 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,8 @@ Rosebud is a film recommendation Q&A bot: - 🗄️ Uses a Pinecone vector database of roughly the 100 most popular films each year from 1950-2023. **It will only recommend films from this database**. - 💯 Incorporates both offline and online evaluation. - 🙌 Totally open-source and privacy preserving. -- 📕 For more information, please [see my article in *Towards Data Science*](https://towardsdatascience.com/how-to-build-a-rag-system-with-a-self-querying-retriever-in-langchain-16b4fa23e9ad). +- 📕 For more information, please [see my most recent article in *Towards Data Science*](https://towardsdatascience.com/productionizing-a-rag-app-04c857e0966e). +You can also read an [earlier article](https://towardsdatascience.com/how-to-build-a-rag-system-with-a-self-querying-retriever-in-langchain-16b4fa23e9ad) featuring a dev-oriented version of this project. ## Overview of Tools Used 🛠️ - **LangChain**: Framework to create the `rosebud_chat_model`. Important in the creation of the self-querying retriever as well as connecting the OpenAI Chat model to the Pinecone vector store for retrieval augmented generation (RAG).